On October 24, Sarvam AI, an artificial intelligence (AI) firm supported by Lightspeed, unveiled Sarvam 1, a Large Language Model (LLM). According to a tweet on X (previously Twitter), the business says it is India’s first indigenous multilingual LLM, trained from scratch on domestic AI infrastructure in ten Indian languages and English.
Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, and Telugu are among the ten major Indian languages that Sarvam 1 supports in addition to English. The LLM uses a two-billion-parameter language model and is trained on Nvidia’s H100 Graphics Processing Unit (GPU).
Sarvam AI uses Nvidia services and AI4Bharat’s open-source technology
In order to optimise and implement conversational AI agents with sub-second latency, Sarvam AI also makes use of a variety of Nvidia services and products, including its microservice, conversational AI, LLM software, and inference server.
In addition to Nvidia, the LLM made use of AI4Bharat’s open-source technology and language resources, as well as Yotta’s data centres for computational infrastructure. According to a blog post by the AI startup, Sarvam-1’s strong performance and computational efficiency make it especially well-suited for real-world uses, such as deployment on edge devices.
In specifics, Sarvam 1 clearly beats Gemma-2-2B and Llama-3.2-3B on a number of common benchmarks, such as MMLU, Arc-Challenge, and IndicGenBench, while attaining comparable results to Llama 3.1 8B, the company stated.
Functioning of Various LLM Models Launched by the Company
India’s first Hindi LLM, Open Hathi, was introduced by the AI firm in December 2023. The Llama2-7B architecture from Meta AI, which has 48,000 token extensions, served as the foundation for the model. However, a training corpus of two trillion tokens is used to develop Sarvam.
Because of its effective tokeniser and unique data pipeline, which can produce diversified and high-quality text while preserving factual correctness, the LLM has two trillion tokens of synthetic Indic data. In addition to being four to six times faster during inference, Sarvam claimed that the most recent model from their stable meets or surpasses much larger models like Llama 3.1 8B.
The process by which a trained model predicts or deduces from fresh data using the patterns it discovered during training is known as inference in artificial intelligence. Compared to current Indic datasets, the companies’ pretraining corpus, Sarvam-2T, supports eight times as much scientific material, three times as high quality, and two times as long documents. The total number of Indic tokens stored by Sarvam-2T is around 2 trillion. Apart from Hindi, which makes up over 20% of the data, the data is distributed nearly evenly among the ten supported languages.
This article has been contributed by Anna Koh, Chief Business Officer (Asia), Cyfirma.
The boom of cloud technology has changed how we as a business, governments, and consumers interact with digital services. It has come a long way from a novel concept to an integral part of our daily lives. This pervasive adoption of cloud services has brought unprecedented agility in terms of growth and introduced us to new challenges in terms of security. This clubbed with the rise of AI, it has compelled us to rethink our security strategies.
Cloud computing began as a means to provide scalable IT resources online, eliminating the need for traditional in-house infrastructure. In the beginning cloud services offered basic computing resources such as storage and processing power, but with time technology matured and its capabilities improved. Today, the cloud offers a broad of services including Software as a Service (SaaS) Platform as a Service (PaaS) Infrastructure as a Service (IaaS)
These services allow organisations to leverage cloud resources for various purposes, such as data analytics, AI, software development and disaster recovery. The pervasive adoption of cloud technology is evident across various sectors as businesses of all sizes rely on cloud solutions for their cost savings to operations that cloud platforms offer. Governments use the cloud to enhance public services and manage vast amounts of data. And consumers interact with cloud-based applications for everything from social media, online banking to entertainment and personal productivity.
Cloud Attacks Industry Targets
Cloud technology is becoming increasingly integrated into our digital lives, making it a crucial part of daily life. This shift to cloud computing has created new attack risks and amplified the potential impact of cyber-attacks. Threat actors look for vulnerability such as:
Misconfiguration
Cloud services often come with complex settings, if not properly configured it can expose sensitive data or leave systems open to unauthorised access.
Centralised Storage of Vast Amounts of Sensitive Information
Threat actors use techniques such as phishing and malware to gain access to cloud accounts and exfiltrate data. The scale and accessibility of cloud environments make these breaches particularly damaging.
Application Programming Interfaces (APIs)
Cloud services rely on APIs for integration and communication. Any vulnerabilities in APIs can be exploited by attackers to gain unauthorised access, manipulate data, or disrupt cloud services.
DDoS Attacks
Attackers overwhelm cloud resources with a flood of malicious traffic. The scale of cloud services makes them particularly susceptible to these attacks, which can cause significant disruptions and financial losses.
Threat actors exploit vulnerabilities in the supply chain to compromise cloud services, infecting systems with malware or gaining unauthorised access to sensitive data.
The integration of AI into cyber-attacks has introduced new dimensions of sophistication and efficiency like:-
Attackers use AI to create personalised phishing emails by analysing the target’s communication habits, tricking employees into revealing cloud credentials and allowing unauthorised access to sensitive data.
AI is used to develop adaptive malware that evades traditional security systems by altering its code or behaviour based on defences. A notable case is AI-driven polymorphic malware that continuously changes its appearance to avoid detection by static antivirus tools.
Threat actors use AI to optimise data exfiltration processes by analysing network traffic and identifying optimal times and methods for data exfiltration. AI-driven algorithms can automate and accelerate the data extraction without triggering traditional security alerts.
Sophisticated DDoS attacks use AI to adjust the volume and type of traffic based on defensive measures, making it harder for cloud providers to mitigate the attack. This adaptive approach was evident in high-profile DDoS attacks that overwhelmed cloud infrastructure.
Cybercriminals use AI to conduct scans and exploit vulnerabilities of cloud environments. AI tools can find and exploit unpatched vulnerabilities before security teams can address them.
To address the evolving threats posed by AI-driven cyber-attacks, cloud security must adapt and incorporate advanced strategies. Here are key areas where cloud technology and security practices need to evolve:
Integrating AI into cloud security tools improves threat detection and response. AI can analyse patterns and spot anomalies in real-time, providing more accurate and timely alerts for potential threats.
Adopting a Zero Trust approach, where trust is never assumed and access is granted based on strict verification. This means continuous monitoring and validating user access and behaviours to minimise the risk of unauthorised access.
Strengthening API security by implementing rigorous and regular vulnerability assessments and API-specific security measures to mitigate risks associated with API exploits.
Leveraging automation in threat response to quickly respond to detected threats thus reducing the time attackers have to exploit vulnerabilities.
Training Personnel Regularly Regular training and awareness programs can help prevent human errors that lead to security breaches.
Collaborating with industry peers to share threat intelligence that can enhance cloud security. Collective efforts to share insights on emerging threats and vulnerabilities can strengthen defences and improve overall resilience.
As cloud technology and AI-driven threats evolve, organisations need to adapt their security strategies. Enterprises can better protect their cloud environments by integrating AI tools, adopting modern security architectures, and fostering a culture of continuous improvement to ensure resilience of their digital operations.
Elon Musk has highlighted the revolutionary power of artificial intelligence (AI) as well as the dangers it could cause to humanity in two separate scenarios. Earlier, Musk, the CEO of Tesla, gave an interview to the podcast titled “All In” in which he discussed his thoughts on the development of artificial intelligence and humanoid robots.
With the assertion that the technology has an 80% chance of being beneficial to society, he proposed that AI technologies would soon be able to outperform humans in practically all tasks. In addition, he offered a stern warning, suggesting that there is a 20% chance of “human elimination” as a result of the unrestricted development of artificial intelligence.
“Elon Musk’s prediction of an 80% chance of AI success and a 20% risk of human extinction captures the dichotomy of our technological progress. These percentages represent not just a prediction, but a critical turning point in our relationship with artificial intelligence. On the one hand, 80% represents AI’s immense potential for revolutionizing industries, solving complex problems, and improving our daily lives. With innovation comes the promise of smarter healthcare, cleaner energy, and unprecedented connectivity, which could usher in a new era of prosperity,” said Manish Mohta, Founder of Learning Spiral.
Sharing his views on the topic, Bhaskar Ganguli, Co-Founder & Director Marketing, Mass Software Solutions stated, “Elon Musk’s recent comment concerning AI emphasises its potential as a double-edged sword. The IT industry is grappling with improving operations management and problem resolution in complicated IT settings. AI, a key breakthrough, provides solutions, having already achieved progress in a variety of disciplines. However, the progress of artificial intelligence raises concerns about repercussions that may lead to the situation such as loss of job opportunities, gradual loss of privacy, and development of autonomous weaponry.”
However, he further mentioned that maintaining a balanced perspective is vital while considering the potential repercussions and opportunities presented by AI. Notably, everyone is accountable for aiding in the advancement of AI in an ethical, responsible, and societally appropriate manner.
Vipin Vindal, CEO, Quarks Technosoft, opined that Elon Musk’s prediction of an 80% success rate for AI and a 20% risk of human extinction serves as a timely reminder of the potential benefits and challenges associated with artificial intelligence. While AI has demonstrated remarkable capabilities in various domains, its development requires careful consideration of ethical implications and potential unintended consequences. A 2023 Oxford study estimates that there’s a 50% chance of AI exceeding human capabilities across all tasks within 45 years. To mitigate risks and ensure AI’s positive impact, it’s imperative to invest in research on AI safety and alignment, establish international standards for AI ethics, and develop robust regulatory frameworks.
A 2023 global survey conducted by Pew Research Center found that 75% of respondents believe AI will have a significant impact on their lives within the next 50 years, highlighting the need for proactive measures to shape AI’s development beneficially. To ensure that this impact is positive, it’s imperative to invest in AI safety research, establish international governance frameworks, and prioritize human values in AI design.
Tesla’s Development of “Optimus
Musk described Tesla’s creation of “Optimus,” a humanoid robot that is still in the process of being developed. He believes that this robot has the potential to revolutionise common tasks such as landscaping, babysitting, and dog walking.
His prediction was that in the not-too-distant future, these multi-functional robots, which would most likely cost somewhere around $20,000, will become an indispensable component of houses. Apparently, after these robots take over many of the duties that people no longer choose to do, “there’s no actual limit to the size of the economy,” as reported by a media house.
AI Might Become Threat to the Society
Although Musk highlighted the potential benefits and economic effects of AI, he also discussed the social issues that could arise as a result of this technology. As a result of the replacement of persons in tasks that have historically been considered fundamental to human labour, he projected that artificial intelligence and autonomous robots could lead to a “crisis of meaning” for individuals. One of the most important concerns that Musk raised in his study was the topic of what humans will do with their time in a society that is dominated by machines. He pointed out that some people may have difficulty finding a purpose in their lives.
Musk forecasted that within the next 30 years, the number of robots would significantly surpass that of humans. Despite the fact that he admitted that his estimates are typically unduly optimistic, he anticipated that it would take Tesla approximately 5 to 6 years to build one million Optimus robots on an annual basis. Musk has maintained that many people, particularly seniors, are already enjoying life outside of the working, which suggests that humans may be able to adapt to this shifting landscape. This is despite the fact that artificial intelligence presents a number of obstacles.
“Musk has long advocated for a cautious approach to AI development, warning that if not properly regulated and controlled, AI could evolve in unpredictable and potentially dangerous ways. His fear stems from the rapid advancement in AI capabilities, which could surpass human intelligence and act in ways that are not aligned with human values or safety,” stated Eric Fonseca, VP Marketing, INDOAI Technologies Pvt. Ltd.
“This dichotomy—where AI is seen as a powerful tool for good but also a potential existential threat—reflects the growing debate within the tech community. Musk’s forecast underscores the importance of ethical AI development, advocating for safety measures, global regulations, and transparent oversight to ensure that AI remains a force for progress rather than destruction,” Fonseca added further.
Musk’s Future Plans
Elon Musk, however, made passing reference to his own ambitions, suggesting that he had no plans to retire from work anytime soon, even though artificial intelligence was on the increase. There are currently 6 firms that he is involved with, one of which is his most recent endeavour, xAI, which is an artificial intelligence startup that is pitching itself as a competitor to OpenAI.
In addition, he made an understated reference to the fact that he would be willing to participate as an advisor in a government efficiency commission in the event that former President Donald Trump were to return to power.
Seven Indian businesses that are experts in generative artificial intelligence have been chosen to participate in the Global Generative AI Accelerator program offered by Amazon Web Services (AWS).
These seven Indian startups—Convrse, House of Models, Neural Garage, Orbo.ai, Phot.ai, Unscript AI, and Zocket—represent some of the most promising AI-driven enterprises out of the 80 companies that were selected from around the world about artificial intelligence. India’s batch highlights the nation’s expanding importance in the artificial intelligence business. Notably, it also has the most number of startups picked from any Asia-Pacific region.
Fostering and Providing Resources for Development
Startups that are chosen to participate in the accelerator programme will be eligible to receive up to one million dollars in Amazon Web Services credits. The startups will be able to design, train, test, and deploy their generative artificial intelligence solutions with the assistance of these credits by utilising tools like as Amazon SageMaker and Amazon Bedrock. In addition, Amazon Web Services (AWS) will make available access to additional services, such as computing, storage, and database technologies, as well as specialised artificial intelligence chips, such as AWS Trainium and AWS Inferentia2.
Through the use of AWS’s infrastructure and expertise, the programme will assist these entrepreneurs in scaling their artificial intelligence solutions on a worldwide scale.
According to Amitabh Nagpal, who is the Head of Startup Business Development at Amazon Web Services India, “Our commitment of $230 million and global expansion of the generative AI accelerator reflects our continued focus on supporting startups to develop, build, and scale their unique ideas using generative AI.”
AWS Continues to Support Generative AI Startups
Through initiatives like as AWS GenAI Loft, which is a collaborative display space that was recently hosted in Bangalore to stimulate innovation in artificial intelligence, Amazon Web Services (AWS) continues to provide assistance to generative artificial intelligence (AI) businesses in India. It provided visitors with a one-of-a-kind platform to gather insights and investigate real-world uses of generative artificial intelligence across a variety of companies.
As of the year 2024, PitchBook Data, Inc. reports that 1,813 artificial intelligence and machine learning firms have brought in capital in India, totalling over 82 billion dollars in investments. Nevertheless, only 35% of generative AI companies worldwide have offices in locations other than their headquarters country, indicating that there is still room for improvement in the support of entrepreneurs in achieving their growth aspirations.
According to Brendan Burke, Senior Analyst, Emerging Technology Research at PitchBook, Asia-Pacific-based generative artificial intelligence startups have raised more than $2.5 billion in 2024, which is more than had been raised in the three years prior combined. In order to train personalised models based on one-of-a-kind cultural and linguistic data, developers and businesses are making the most of the chance.
Furthermore, renowned researchers in the field of artificial intelligence are currently working on a wide variety of transformer models in multimodal domains such as synthetic voice, interactive media, and three-dimensional graphics. AI applications of the future will be dependent on specialist model architectures, and in order for startups to realise their vision, they will require cloud infrastructure of the highest possible quality.
Zomato has become the first digital marketplace to address the issue of distinguishing between real and artificial graphics by announcing that it will prohibit the use of images generated by artificial intelligence in restaurant menus and promotional materials.
According to Rakesh Ranjan, chief executive officer of Zomato’s food ordering and delivery business, eateries that do not comply with the new guideline will be removed from the platform beginning on September 16.
Taking Immediate Action
There are already 276,000 restaurant partners on Zomato, and only 10% of them use artificial intelligence in any capacity. Of those restaurants, only 2% rely only on photos created by AI. The expanding use of artificial intelligence in this context, on the other hand, is seen by Zomato as a danger to authenticity.
This was implemented by the company since it observed the problem beginning to become noticeable. It is necessary to handle it as soon as possible, according to Ranjan, even though it is not yet widespread. Zomato also asserts that it has developed artificial intelligence capabilities that are able to differentiate between real photographs and images generated by AI with an accuracy rate of 90%.
Assistance for Eateries Going through Change
Zomato is providing inexpensive photoshoots to restaurants through its network partners in order to aid them throughout this changeover. Prices for the service range from INR 4,000 to INR 5,000, with the exact amount being determined by the percentage of the menu that requires photography. To provide a point of reference, the average cost for a small restaurant to cover 70% of its menu with professional photographs is between INR 7000 and 15000.
Ranjan noted that artificial intelligence is still essential in areas such as food categorisation and nutrition labelling throughout the food delivery and rapid commerce sectors, despite the fact that Zomato is taking a firm stance on images generated by AI.
Message From Zomato’s CEO
According to Deepinder Goyal, CEO of Zomato, the company uses a variety of artificial intelligence (AI) techniques to improve the efficiency of its workflows.
The employment of artificial intelligence in the creation of graphics for food on restaurant menus is, however, something that we highly discourage. Artificial intelligence-generated photographs of food and dishes are deceptive, and we have received a great number of client complaints regarding this matter. Customers claim that this results in a breach of trust, which in turn leads to an increase in the number of complaints and refunds, as well as a decrease in ratings.
Since we will be actively beginning to remove such photos from menus by the end of this month, we strongly encourage our restaurant partners to refrain from employing artificial intelligence (AI) for dish photographs in restaurant menus from this point on. In addition, we will no longer accept photos of dishes that were generated by artificial intelligence (to the extent that we are able to identify them through automation).
Swiggy Opting Different Strategy
Alternatively, Swiggy, which is Zomato’s competitor, is taking a different approach by collaborating with Spyne.ai to provide its restaurant partners photographic services that are powered by artificial intelligence.
An accelerator programme is also available through Swiggy, which provides rewards to eateries that meet a predetermined image threshold standard.
After ChatGPT, the AI market had a boom! For content platforms, AI tools like ChatGPT and Perplexity are serving as pet robots. If your client has a tech-related website, you can ask ChatGPT: “Give me link magnet ideas for my website in the technology niche.” The AI will then suggest relevant, potentially high-value topics.
In the changing world of Search Engine Optimization (SEO), combining Artificial Intelligence (AI) with link building has made it easy. It could offer new ways to increase your website’s ranking and profile. In this article, we will see how you can use ChatGPT to make your SEO backlinking faster, easier and better.
These days, the mix of Artificial Intelligence (AI) and connecting websites has changed how we improve our online presence. It’s a big change. Now, there are many AI tools available. These tools have changed connecting websites from being hard and taking a long time to something simple and fast.
AI’s powers go beyond simple automation. It supercharges research, careful contact work, and smart study of link-building. These tools help a lot, easily finding potential connections while also analyzing and understanding what competitors are doing. This would be hard to do without them.
The strength of AI shows when it can provide custom ways to reach people, a big change in getting important links back. AI-driven tools for reaching out to help make contact with customers automatically. They also add a personalized feel.
These special messages, helped by AI programs, connect more deeply with link sources. They make it much more likely that strong backlinks will be built. This personal way also helps to make better and deeper ties in your special group, setting the stage for long-lasting friendships and working together.
For getting links on the internet, making good content is very important. It should be interesting and make others want to link back to it naturally. Getting this right needs careful mixing of quality, importance and interest.
Content excellence is non-negotiable. Making good content that talks directly to what your audience wants and likes is very important. Here, tools that use AI to create content become very helpful friends.
These tools help make content and also make good, important pieces. that connect with the people you want to reach. By using AI, the information becomes more than just words on a screen. It becomes attractive to joiners and makes your site a trusted place for knowledge and expertise.
Including eye-catching elements in your content plan can greatly help create more links. AI technology helps here too. It can give a hand in making exciting pictures, deep videos or fun digital content.
These parts make it better for users and get them more involved. They draw in connectors as well. Pictures help others understand better and also make them want to share. This naturally helps get more links and makes your website better known on the internet.
Leverage AI in Web Link Building Activities
These smart tools do more than just gather data. They give you useful information that changes the way you do things. Using AI tools not only keeps tabs on how well your bought links are doing but also reveals more complex information about how users behave and change rates.
See clearly which links bring the most people, which ones lead to more involvement, and importantly, which ones turn visitors into customers. This level of detail in data lets you make good choices. You can change and improve your plans based on real-world proof instead of guessing.
Predict a situation where special studies using smart technology show that many articles on important websites send lots of visitors to your site. But, one kind of content gets way more people to do what you want.
With this knowledge, you can target your work on making more of certain types of content or seeking guest post chances that fit with that theme. This focused strategy makes sure your work on getting links isn’t just about getting them but also brings real results for your business.
Predictive link building, helped by AI systems, gives us a forward-looking advantage. These programs look at patterns, what people buy and changes in the business world to guess good chances to connect early on. This ability to predict helps you act ahead of others in finding and making use of chances before they get popular.
For example, an AI system might spot a growing interest in a specific area of your job. With this thought, you can make content or start contact campaigns around that new subject. This will make your website a reliable place before the trend becomes very popular. This plan helps you get important links to your site and make it known as an early user and expert in the field.
Mastering AI-Powered Link Building
Natural Link Building: Try to get links by making real connections, working with influencers, and taking part in business events. AI tools help you by finding important people and making useful connections for you.
Spying on Competitors: Tools driven by AI help you see what your rivals are doing. They show how they get their backlinks and find chances for you to do the same in the future. By using this info, you can change and make your strategies better. This will help you be ahead in link building.
AI and link building work together to greatly improve your SEO. This makes your website rank better in general. AI not only gathers information but also makes your plans smarter. This helps your website do better in search results, bring in more people without forcing it, and make them more likely to become paying clients.
Carefully study every part of your plan for building connections. It lets you change your ways just right to fit what makes you ranked on search sites. The result? Your website slowly moves up the search results pages. This brings in more natural visitors and raises the chance of getting them to convert.
Use AI to Build Web Relationships
On the Internet, Using AI Technology with strategies not only gives significant chances to grow but also, matters and affects the things on the Internet. When you add AI-based tools to your website, you put a site in the lead to new changes. It helps make it last a long time and do well.
An AI study shows that certain types of website connections from certain sites make your website much easier to find. This data helps you concentrate on getting more good backlinks for your website. This makes it more important and helpful to search engines.
When we buy links online, AI tools help us keep an eye on how well they are doing.
They also reveal more complicated information about how people behave and whether they are turning into customers.
Artificial intelligence enables us to see which links drive the most people to our website and which ones engage them the most.
We can use this data to determine which links convert visitors into customers.
Good decisions can be made with the help of detailed data provided by AI tools.
By using real-world evidence rather than just guesses, we can change and improve our plans.
A study of artificial intelligence might demonstrate that certain types of content attract more visitors.
We can then create more of this type of content or look for other websites where it can be shared.
Writing articles for other websites is easier when we know which content works better.
Our business will benefit greatly if we choose topics that people find interesting and relevant.
Based on patterns and changes in what people are interested in, artificial intelligence can predict future opportunities.
This enables us to move quickly and seize opportunities before others do.
Being ahead of the curve using AI insights enables us to become early experts in a given sector.
Besides drawing significant traffic to our website, this builds our reputation as industry experts and leaders in our field.
Using AI for link building creates many chances to improve your internet presence. When AI is used together with link-building plans, it makes things grow more than ever before. This mix lets businesses stand out and be seen more on the internet.
FAQ
How to use AI for link building?
AI can help you find the relevant websites in your niche which can make link-building easier.
Can AI do backlinks?
Yes, lots of tools with AI can analyse the website’s sources and help one find the best potential link sources.
How to use Chat Gpt for link building?
Chat GPT can be best used to find relevant websites and keywords. The AI tool can also help build personalized connections.
What is automated link building?
Automated link building is making the process of link building with the least human effort by automating the whole process.
Is link building useful?
Link building is essentially an important aspect of SEO. Link building can help bring quality traffic to the website which can eventually help in getting potential customers.
This article has been contributed by Ms. Pallavi Tinekar, Vice President – Technology & Startups, Concept Public Relations.
Artificial Intelligence (AI) continues to impact our lives right as we use cloud-based service platforms for some information, play music from an app, or take help from satellites for routine navigation to avoid traffic. It also continues to assist in managing communications, identifying potential crises, and generating content, in the field of Public Relations. Many PR pros are increasingly and enthusiastically accepting the use of AI tools to deep dive and understand what better outcomes they can generate maximizing their efforts. A recent study on the use of AI technology by PR pros revealed that the majority surveyed already utilize AI in their work. There was a direct correlation between ‘happy’ PR pros using AI in their work, and feeling confident about their ability at work. This indicates that those who use AI technology to enhance their PR and communications work often perceive its benefits more positively. It is key for agencies and firms to understand the potential benefits as well as the drawbacks of incorporating AI into their work.
PR campaign planning: A large language model like ChatGPT can help with each campaign step: from defining objectives, identifying the audience, creating content, identifying tools, planning outreach, and impact measurement.
Content creation and strategy: AI’s role in content goes beyond basic content generation i.e. in ideation, writing tasks, and editing and ensuring brand consistency across diverse formats.
Media monitoring and analysis: AI has revolutionized media monitoring as it sifts through vast data, providing key insights into sentiment, trends, and influencer activity, crucial for reputation management and strategic planning.
Research purposes: Research is central to a lot of activities in PR and AI-powered tools prove to be valuable business assets to PR in their ability to perform time-consuming tasks. Some tools have proven efficient in conducting research and providing the desired results, freeing up time for more creativity.
Data-driven audience insights: Data is central to PR to land effective messaging, coverage, and overall impact. Automated data analysis and predictive analytics are increasingly becoming important to PR, thereby enabling effective PR strategies based on audience preferences and behaviours. This means that AI algorithms can now identify patterns, monitor online trends and news, and help evaluate the effectiveness of PR efforts.
Crisis management and response: During crises, AI can assist with real-time data analysis and provide invaluable insights offering immediate crisis support in managing communications, maintaining consistency across channels, and providing insights for strategy adjustments.
Enhanced audience targeting: We can dive deeper to understand stakeholder demographics, psychographics, and behaviours, with AI which in turn helps to understand the target audience, message personalization, measure the effectiveness of the campaign, and push the traditional PR measurement periphery. With advanced AI tools, data analyses and the delivery of insights will become easier, and PR professionals will be able to effectively target their messaging to their audience.
Creating press releases and reports: Natural Language Generation (NLG) technology can assist PR practitioners in creating personalized content tailored to their target audience, thereby allowing more time for creative content creation and strategic thinking. However, human intervention is still critical for the communication process.
Data-driven media relations: There is a whole new world for data analysis to help PR teams monitor and analyze media coverage and identify key trends and opportunities. Key metrics such as audience reach, sentiment analysis, and engagement rates, can assist PR professionals to identify media outlets and journalists most relevant at delivering their message to their target audience. This understanding also fuels future media relations strategies.
Creating media lists: An AI media list generator incorporating machine learning algorithms from GPT-4 is a cutting-edge solution as it helps create customized media lists, identify media coverage prospects, conduct sentiment analysis, and monitor media impressions. These tools also help PR professionals identify resonating content for their target audience. Ultimately, this enables them to create more effective campaigns.
Video and monitoring: With increased consumption of video and video-based content, it is pertinent to note that AI can help create videos faster, without a crew, actors, sets, and complex editing software. Text-to-videos help create thought leadership content and monitor for deep fake content to avoid brand crises.
Email replies: Effective overall communication by analyzing language patterns and context to produce polite and empathetic responses, helping to avoid any unintended passive-aggressive or negative undertones is possible with AI. These tools also help to map individual preferences as well as follow organizational guidelines.
Reputation Management: With AI in public relations, sentiment analysis is widely used to monitor, measure, and handle public sentiment toward brands, campaigns, or public figures, bringing a lot of value to reputation management.
Crisis communication: During crises or sensitive situations, AI-based sentiment analysis aids PR teams in monitoring and evaluating public sentiment. It further helps in detecting negative sentiments for immediate response/action.
Budgeting: PR teams can analyze historical data, market trends, and campaign performance, for budgeting purposes using AI tools. Continuous learning by uncovering patterns and correlations within the data, leading to optimized budget distribution to realize expected outcomes, evaluate the cost-effectiveness of various PR activities, and recommend optimal strategies for resource allocation.
Speech-to-text applications: With the increasing frequency of collaboration and in turn meetings, it has become pertinent to document these to maintain accuracy, and follow up on action items. Such tools can also assist in last-minute speech writing, thereby saving time.
Influencer identification: AI tools can help identify the right influencers by deep-diving the social media data. Follower count, engagement rates, content relevance, and audience demographics can help make quick decisions on influencer identification.
Conclusion
There is a growing need to adapt to the evolution of AI. While many human elements are still absent from AI, data still needs to be interpreted accurately to gain prominent insights. We anticipate more testing for AI to help solve actual PR problems. Having said that, it is critical to acknowledge that AI will automate repetitive tasks and in turn free up PR teams to focus on more core actions supporting business growth.
This article has been contributed by Vivek K Singh, Co-founder and CEO, Careerera.
Before delving into Ai’s role in the education sector, let’s begin by defining this technology. Artificial Intelligence or AI enables machines to execute tasks typically associated with human cognition. AI-powered systems have the capability to make decisions, tackle problems, comprehend and replicate natural language and glean insights from the unstructured data. AI encompasses various technologies like machine learning, natural language processing, and computer vision which helps computers learn from data, understand human language and see and recognize things. Its applications range from virtual assistants to self-driving cars to financial forecasting. It enables computers to think and act like humans, leading to advancement in automation, decision making and problem solving.
Artificial Intelligence is revolutionizing industries, and the education sector is no exception. It has changed the way we learn. It has been growing rapidly and it’s making big changes in our lives in many ways. It makes learning more engaging and personalized for each and every student.
It further helps teachers by grading papers quickly and providing feedback. It can even answer students’ questions and assist them with studying. It’s like having an intelligent best friend in class. The value of play-based learning for school students has been long recognized by educationists, which resulted in the introduction of educational computer games, virtual tours, etc. to make learning more interesting. With Artificial Intelligence, learning becomes interactive as well as exciting.
Artificial Intelligence is revolutionizing traditional teaching methods and reshaping the education landscape with its ability to analyze large amounts of data, personalize learning, and give feedback right away. This article will help you explore the diverse application of Artificial Intelligence in education and its profound impact on learners, teachers and educational institutions.
Personalized Learning
Personalized learning is one of the most noteworthy contributions of Artificial Intelligence. In a traditional classroom setting, it’s not easy to teach each student in a way that works best for them. However, with Artificial Intelligence, educational platforms can analyze student data in real-time and personalize educational content and pace according to their needs. Such platforms employ special computer programs to scrutinize how learners are doing. For instance, if a student is having trouble with a particular concept, the AI system can provide them with additional practice material to reinforce understanding. This personalized approach not only keeps students interested but also improves learning outcomes by focusing on individual learning gaps.
Smart Tutoring Systems (STS)
Smart Tutoring Systems leverage AI to give students personalized tutoring experiences. These systems simulate a one-on-one tutoring environment with the help of individual guidance, feedback, and support. They analyze students’ responses and interactions, then assess learning progress, identify areas for improvement, and offer tailored learning pathways.
In addition to this, STS can also adapt instructional strategies based on learner’s performance, providing targeted interventions wherever necessary. This tutoring approach enhances student motivation, helps them learn their own, and accelerates skill acquisition in different subjects.
Automated Grading and Checking
Artificial Intelligence has streamlined the grading and checking process in educational institutions. Traditionally, teachers spend significant time grading assignments and exams, which can be tedious and time consuming. However, AI grading systems can automatically evaluate students’s responses, giving feedback right away and making things easier for teachers.
Virtual Teaching Assistants
AI-driven virtual teaching assistants and chatbots are transforming the way students get help and information. These intelligent helpers are available 24/7 to answer questions, provide explanations and help with academic tasks. They leverage special language technology to assist students like a human tutor would. In addition, virtual teaching assistants give personalized tips based on what each student needs to learn, helping students navigate tricky concepts and assignments more effectively. Having this instant support enhances students’s autonomy, encourages them to learn on their own, and improves overall academic performance.
Producing and Sorting Educational Content
Artificial Intelligence plays a vital role in producing and sorting the content, enabling educators to develop high-quality instructional material efficiently. AI algorithms analyze vast amounts of educational content which includes textbooks, articles, multimedia resources, etc., to generate custom-made learning materials. For example, AI can make fun quizzes, games, videos, and simulations as per students’ learning objectives and preferences. By harnessing the power of AI, teachers can produce and sort educational content that are more interactive, easier to get and more fun for learners to use, enriching the learning experience for all.
Predictive Analysis
AI-powered predictive analysis offers valuable insights into learner performance, behavior and outcomes. By analyzing student data such as grades, attendance, and engagement metrics, predictive analytics can see patterns and trends that show if a student might do well or need help. Moreover, it improves student retention, reduces dropout rates and promotes academic success for all students.
Language Learning and Interpretation
Artificial Intelligence helps students learn and translate languages better through advanced language skills. AI-driven language learning platforms rely on speech recognition, natural language understanding, and machine translations to encourage language acquisition.
Additionally, AI translation tools enable seamless communication even if learners and educators speak different languages, breaking down the language barrier and cultivating collaboration in multicultural learning spaces.
Virtual Reality and Augmented Reality (AR and VR)
AI-augmented Virtual Reality and Augmented Reality technologies create exciting experiences that engage students in interactive simulations and virtual worlds. VR and AR applications allow learners to explore tricky concepts, conduct virtual experiments, and interact with digital content in a practical way. With the help of these technologies, teachers can create dynamic learning experiences that spark curiosity, creativity and critical thinking skills in students.
AR and VR Marketsize
Impacts of Artificial Intelligence in Education
The integration of Artificial Intelligence in education has profound impacts on learners, teachers, and educational institutions.
Better Learning Outcomes: AI- makes learning more personalized, which helps learners stay motivated, interested, and do better in academic tasks by catering to individual learning needs and preferences.
Smart Choices with Data: AI-driven analytics gives teachers the information they need to make informed decisions about course curriculum, instructional strategies and student support using real-time data.
Empowered Teachers: AI technologies empower teachers with data-driven insights, support tools, and instructional resources to teach better and faster.
Enhanced Collaboration: AI helps learners, teachers, and other stakeholders work together using virtual classrooms, fun tools, and websites.
Improved Accessibility: AI makes education accessible for all by providing on-demand support, inclusive technologies, and adaptive learning materials to everyone, even those with disabilities or learning differences.
Lifelong Learning Opportunities: AI helps people keep learning irrespective of their age, profession, etc., by offering personalized ways to learn new skills, professional development resources, and continuous feedback.
Sports performance analysis and management have undergone a profound transformation in recent years, thanks to relentless advancements in technology.
Artificial Intelligence (AI) and data analytics have become game-changers, offering a plethora of advantages to the sports industry. The ability to harness real-time data through sensors, wearables, and tracking devices has empowered teams to delve deep into player performance metrics like never before.
Imagine a world where every move, every heartbeat, every step is meticulously analyzed to unlock the secrets of peak athletic prowess.
Let’s explore how AI and data analytics are reshaping the landscape of sports performance analysis and management, paving the way for a new era of excellence.
AI and Data Analytics in Sports Performance Analysis
In the realm of sports performance analysis, Artificial Intelligence (AI) stands as a formidable force, revolutionizing the way teams evaluate and enhance player capabilities. Through sophisticated algorithms and machine learning techniques, coaches and analysts can now dissect vast troves of data, extracting invaluable insights that were once out of reach. This data-driven approach empowers decision-makers to craft more informed strategies, optimizing training regimens, game plans, and player development with pinpoint precision.
Harnessing the Potential of Data Analytics
The fusion of AI and data analytics has ushered in a new era of sports analysis, where performance evaluation transcends conventional boundaries. By tapping into a rich tapestry of player data, coaches and analysts can unravel intricate patterns and trends, shedding light on areas for improvement and avenues for growth. Armed with this wealth of information, teams can fine-tune their approaches, refine their tactical acumen, and propel their athletes to new heights of excellence.
“We emphasize leveraging cutting-edge technologies such as AI, Machine Learning, and computer vision to introduce features like automated scoring, game highlights, and professional-level statistics, which were traditionally accessible only to top-tier athletes. These innovations enhance the player’s physical capabilities and democratize high-tech sports analytics, making these advanced toold available at the grassroots level,” Game Theory Founder and CEO Sudeep Kulkarni told StartupTalky. Game Theory is sportech startup that is making sports accessible to all age groups.programs
Delving into Real-time Data Insights
One of the standout advantages of AI and data analytics in sports lies in the ability to capture and analyze real-time data streams. From sensors and wearables to tracking devices, teams can monitor a myriad of player metrics instantaneously, from speed and distance covered to heart rate and biomechanical movements. This real-time analysis empowers coaches and analysts to make on-the-fly adjustments, optimizing performance and mitigating injury risks in the heat of competition.
Applications of AI in Sports
Redefining Performance Enhancement Strategies
With the advent of AI, the landscape of performance enhancement and injury prevention in sports has undergone a monumental shift. By vigilantly tracking player metrics, coaches can pinpoint indicators of fatigue, overexertion, and injury susceptibility, enabling proactive interventions to safeguard athlete well-being. Moreover, AI algorithms can forecast injury probabilities based on historical data, allowing teams to preemptively address potential risks.
“AI performance tracking software provides unbiased data collection, aggregation and performance analysis. It can also be utilised to study an opponent and build strategies to exploit the opponents weakness and maximise the chances of success. AI has also been used to judge the performances of athletes. For eg. The AI-powered Judging Support System (JSS) was used in the 2023 Gymnastics World Championships. AI performance tracking can also help in injury prevention and recovery monitoring,” Tagglabs Founder Hariom Seth told StartupTalky.
Tagglabs is a startup focused on inventions in new media and technology for marketing and communications. “At present AI is used to engage fans of Indian sports teams. We too used AI to generate personalized, shareable videos for fans featuring top cricketers for Seagram’s Royal stag,” Seth said.
Royal Stag | A Billion Films For A Billion Fans
Tagglabs has been serving clients–Vodafone, Kingfisher, Nike, LG, Samsung, BMW, Audi, Volkswagen, Honda, Hyundai, Tata Motors, and Times Group–with the latest AI techniques. It crafted a video experience for ICC Men’s Cricket World Cup 2023 using AI and boAt.
Real-time Data Collection and Analysis
Real-time data collection and analysis have become indispensable tools for teams seeking a competitive edge. The ability to gather and analyze vast amounts of data in real-time has revolutionized how teams evaluate and improve player performance, leading to more informed decision-making and enhanced training strategies.
“The rise of OTT platforms has provided unprecedented access on demand to sports content that would otherwise not be telecasted on linear TV due to limited availability of slots. With scope for hosting live matches, highlights, as well as exclusive content on OTT platforms, sports with lower visibility have an opportunity to enrich their engagement with audiences. AI-driven features can further empower sports organizations to deliver immersive content that enhances fan engagement and transforms the viewing experience,” Stupa Sports Analytics CEO and co-founder Megha Gambhir told StartupTalky.
Stupa Sports Analytics modernizes sports with its AI and tech-driven solutions, benefiting players, fans, federations, and rights-holders, said Gambhir. “The AI tech curates highlights and reels for federations and players, opening up new monetization avenues.”
Sensors, wearables, and tracking devices play a crucial role in the real-time data collection process, providing valuable insights into various aspects of player performance such as speed, distance covered, heart rate, and biomechanical movements.
Continuous monitoring of player metrics through these technologies allows coaches and analysts to make immediate adjustments to training and game strategies, optimizing performance and reducing the risk of injuries.
The real-time analysis of data enables proactive interventions, such as adjusting training loads, implementing recovery protocols, and modifying playing time, to enhance performance enhancement and injury prevention strategies.
“Real time data collection provides instant feedback to coaches and players during training sessions and matches. It allows for quick adjustments in tactics and strategies based on real-time insights. It enhances the overall spectator experience by providing engaging real-time statistics and analysis,” Jatin Paranjape, former Indian cricketer turned sports entrepreneur, shared with StartupTalky. Paranjape is a CEO and founder of KheloMore.
KheloMore is a digital platform that unites aspiring young athletes with coaches and academies, facilitating exceptional offline performance opportunities.
By harnessing the power of real-time data collection and analysis, teams can pinpoint areas of improvement and tailor training strategies for optimal results. The seamless integration of AI algorithms into the decision-making process empowers teams to make informed choices that prioritize player well-being and performance excellence.
Data-driven insights pave the way for customized training programs that address individual player needs and optimize overall team performance. By analyzing biomechanical movements and physiological measurements, coaches can identify patterns that may lead to inefficiencies or injury risks. The combination of real-time data analysis and personalized coaching strategies sets the stage for a new era of sports performance enhancement, where every decision is rooted in data-driven precision.
Through the strategic application of AI and data analytics, teams can create a culture of injury prevention that fosters sustained performance excellence and longevity in athletes.
By simulating different game scenarios and predicting the effectiveness of various strategies, coaches can make informed decisions in real time, giving their team a competitive edge on the field. The fusion of technology and strategy reshapes the landscape of sports, propelling teams toward success through intelligent decision-making.
“Technology empowers young athletes and coaches by democratizing access to pro-level analysis and tools. This approach helps nurture grassroots talent and instill a sense of competitiveness by providing insights that were traditionally available only to top-tier athletes. Coaches can use this data to tailor training programs more effectively, monitor athletes’ progress in real-time, and make data-driven decisions that enhance performance outcomes,” Kulkarni commented.
The marriage of cutting-edge technology and athletic prowess propels teams towards peak performance, setting new standards of achievement and innovation in the dynamic world of sports.
Global Sports Analytics Market
Tactical Analysis and Game Planning
Coaches and analysts now have access to a treasure trove of historical game footage and player performance data, allowing them to uncover intricate patterns and trends that were previously hidden. This innovative approach enables coaches to identify specific player tendencies, exploit opponent weaknesses, and optimize their team’s performance to achieve victory on the field.
Moreover, the power of AI and data analytics extends to simulating different game scenarios and predicting the effectiveness of various strategies. Through sophisticated algorithms, coaches gain valuable foresight into the potential outcomes of their decisions during matches, equipping them with a strategic edge over the competition. This forward-thinking approach to game planning not only enhances performance but also fosters a culture of continuous improvement and strategic innovation within sports teams.
By integrating data-driven insights into their decision-making process, coaches can optimize player positioning, refine tactical approaches, and instill a winning mindset in their teams. This meticulous attention to detail and strategic finesse set the stage for a revolution in sports performance analysis, where data reigns supreme in shaping the future of competition.
By harnessing the power of technology to decipher complex patterns and optimize strategic decisions, coaches and teams can unlock a new realm of competitive advantage and performance excellence. This data-driven approach not only enhances team performance but also elevates the overall spectator experience by showcasing the artistry and precision of strategic gameplay.
Talent Identification and Recruitment
In addition to enhancing on-field performance, AI and data analytics have also revolutionized talent identification and recruitment in sports. Teams can now leverage advanced algorithms to sift through massive amounts of data to pinpoint potential future stars. By analyzing player statistics, movement patterns, and even social media activity, organizations can make more informed decisions when scouting for new talent.
Conclusion
In conclusion, the integration of AI and data analytics in sports performance analysis and management has ushered in a new era of precision and innovation. The ability to gather and analyze real-time data has provided teams with unprecedented insights into player performance, leading to enhanced training programs, injury prevention strategies, and tactical game planning.
With the power of AI at their fingertips, sports organizations are better equipped to identify and recruit top talent, ultimately shaping the future of sports as we know it. As technology continues to evolve, the possibilities for further advancements in the sports industry are truly limitless.
FAQs
What is the role of technology in sports performance analysis and management?
Technology, particularly Artificial Intelligence (AI) and data analytics, has revolutionized the way sports performance is analyzed and managed. It allows teams to gather and analyze vast amounts of real-time data on various aspects of player performance, ultimately leading to improved outcomes.
How does AI and data analytics benefit sports teams?
AI and data analytics enable teams to collect data on player performance metrics such as speed, distance covered, heart rate, and biomechanical movements. This information helps in enhancing performance, preventing injuries, strategizing game plans, and identifying and recruiting talent effectively.
How does real-time data collection and analysis impact sports performance?
Real-time data collection and analysis through sensors, wearables, and tracking devices provide teams with immediate insights into player performance. This allows for quick adjustments during training sessions and games, leading to better decision-making and overall performance improvement.
What are some key areas where AI and data analytics are utilized in sports?
AI and data analytics are commonly used in sports for performance enhancement, injury prevention, tactical analysis, game planning, and talent identification and recruitment. These technologies have become essential tools for teams looking to gain a competitive edge in today’s sports landscape.
Since artificial intelligence was first presented to the public, it has quickly become the topic of conversation in the world. The question of whether it will be able to take over jobs previously performed by humans is the primary subject of these discussions. Because of the widespread use of this technology by businesses all over the world, there is now a significant number of people who are without jobs.
“Generative AI and the Future of Work in America” by McKinsey Global Institute is a new report that provides insight into the potential effects of AI on the US work market. Artificial intelligence (AI) and changing consumer behaviors will force people to seek out new job opportunities in a wide range of areas, according to the report. The study found that by 2030, AI might be responsible for 30% of US labor hours, which would mean economic automation would be happening much faster.
The Director, Programs for Asia at Deutsche Welle (DW), Debarati Guha, is of the firm belief that artificial intelligence will not displace people anytime soon, and this is especially true in the Asian region. In an exclusive interview with StartupTalky, she discussed not only her extensive research on AI and its inner workings but also other areas of her career and the ways in which young, aspiring journalists can stay motivated to reach their objectives.
Growing up in a bilingual and multicultural household piqued Debarati’s interest in religion, politics, and culture at a young age. She was born and raised in West Bengal and experienced the trauma of division that followed Bangladesh’s independence war in 1971.
She began her career as a journalist in 2003 in India and has since covered numerous political events in South Asia and around the world. Some of the notable South Asian figures she has interviewed include Shashi Tharoor (Indian writer and diplomat), Bangladeshi Prime Minister Sheikh Hasina, and eminent economist Prof. Amartya Sen. Since 2005, Debarati has been a resident of Germany.
She received her MA and MPhil degrees in politics at New Delhi’s Jawaharlal Nehru University. The working title of her dissertation was “Representation of Women in Postcolonial Literature: Exploring the Subaltern Studies Perspective.”
When Debarati first started working as a journalist in 2003, she was an assistant to the Asia reporter at the Frankfurter Allgemeine Zeitung in New Delhi. As soon as she completed her training in online, radio, and television journalism in 2007, she joined DW as a senior editor and moderator at the Bengali department. After serving as the coordinating editor for the Bengali, Hindi, and Urdu sections from 2009 to 2012, she was appointed head of DW’s Bengali Service in 2013. In 2015, DW entrusted Debarati with its South and Southeast Asian services.
Is Digitization Going to Devour Magazine and Newspaper Culture?
There is a strong debate that the future lies in digitization as print media is fading away these days. This also means that it is going to be the end of the era for these print journals that have dominated the media market over decades. With many strong players in the print domain shutting their businesses and shifting to online modules, there is a big sword hanging on the remaining one.
Commenting on these developments, Debarati stated, “To some extent, it will, but if we look at the Asian market, we can see that this shift is not going to bring about any significant changes in a short amount of time. Due to the fact that I am an Indian, and because it is true that we are a majority community, I am able to confidently assert that the culture of magazines and newspapers is not going to disappear any time soon. You are currently in India, and you may have noticed that despite the country’s huge modernization efforts, there are still areas that are deprived of fundamental necessities like electricity, clean water, and infrastructure, among other things. I mean, even now, people who live in this nation would like to have a newspaper as soon as they wake up in the morning. It is not until they have finished reading a certain magazine or newspaper that they feel as though their day has been finished. In conclusion, I do not believe that this culture will be unsuccessful in Asia. I mean, sure, AI and all that tech is great, but you gotta look at the big picture to realize that if it gets deployed in some workplace operations, humans can get other jobs. For example, if a journalist’s job gets taken over by AI, he can still write investigative stories or feature articles.”
The Number of Jobs Created and Eliminated Due to Artificial Intelligence Worldwide in 2022
Organizations Need Long-Term Success and Sustainability
Making decisions that are beneficial to the company while also having a positive influence on society and the environment is what we mean when we talk about sustainability in business. An all-encompassing strategy in which businesses conduct their operations in a manner that ensures the long-term ecological balance and social well-being of the community. Historically, sustainability was frequently considered an extraneous component, something that companies may choose to concentrate on in order to improve their public image. With that being said, this viewpoint has undergone a significant transformation.
In today’s world, including sustainability as an integral part of strategy planning is essential for any forward-thinking company. According to the findings of a recent study, sustainable business practices have the potential to result in a sixteen percent improvement in staff productivity and a nineteen percent rise in organizational efficiency.
Shedding her thoughts on the topic, Guha opined, “Accessibility is the first and most significant factor to consider in this regard. Only in the event that I be easily accessible will I be able to successfully settle a variety of problems. Given that DW has a presence in every region of the world, it is imperative that we implement strategies that are most appropriate for the organization. Due to the fact that regional media houses have access to a greater depth of particular news and information than we do, we are not in competition with them. Because of this, we are attempting to connect these developments in the Asian domain by giving it a German-Asian angle. Taking the ongoing conflict between Russia and Ukraine as an example, everyone was discussing the various aspects of the conflict and how it would impact the economies of that region. However, when we take a more holistic approach, we must also take into consideration the fact that a significant amount of edible oil that originates from Russia is utilized by countries such as Pakistan, India, and other Asian nations, which means that these nations are also going to be negatively affected.”
There Are No Shortcuts To Success
In her remarkable career span, Guha had the privilege of conducting interviews with notable individuals such as Sheikh Hasina of Bangladesh, Shashi Tharoor of India, and Professor Amartya Sen, who is both a writer and a recipient of the Nobel Prize in Economics. This rich experience of interacting with various different thinkers and visionaries has been instrumental in assisting her in establishing a strong career path. And as she progresses further in her job, she continues to put her acquired knowledge to use.
Emphasizing that there are shortcuts to success she stated, “My message to the young people who are just starting out in the journalism field is that there are no shortcuts to success. People will try to cast you in a negative light by saying things like “AI will take over,” “this trade will die soon,” and “this is not the good career option,” but in the end, it’s up to you to determine which side you want to take. Thus, you must work hard and stay alert. A person must also maintain an openness to learning over the course of their profession. This is because the instant a person believes that they have mastered all of the crafts, that is the day that their career will come to an end.”
Nitin Konde
