This article has been contributed by Nirupama VG, Founder & MD, Ad Astra Consultants Private Limited.
In today’s competitive job market, a carefully created curriculum vitae (CV) can determine whether or not you land an interview. Your resume is your promotional tool, highlighting your abilities, background, and credentials for prospective employers. Follow this detailed guide from formatting to submission to ensure your work stands out.
Select a professional and clean format for your resume. Use standard fonts such as Arial, Times New Roman, or Calibri, and keep the font sizes consistent. Arrange your data into categories like Contact Details, Summary of Qualifications, Professional Experience, Educational Background, Abilities, and other pertinent categories.
Customise your resume for every job application by emphasising the experiences and skills most relevant to the role. Show how well you fit the position by incorporating key phrases and terms from the job description.
Begin with a compelling Professional Summary, as it is the initial section that employers will review. Ensure it is impactful. Give a summary of your experience, highlighting your main skills and accomplishments. Attempt to capture the reader’s interest and persuade them to keep reading.
Rather than just outlining tasks, concentrate on your successes in every position—present quantifiable accomplishments in bullet points, such as surpassing goals, spearheading initiatives, or enhancing procedures. Quantifying your impact and adding credibility to your claims is aided by using numbers and percentages.
Give Importance to Relevant Experience
Organise your work history in reverse chronological order, beginning with your most recent job. Include the job title, company name, and dates of employment. Give more importance to the roles that relate to the position you are seeking.
Display Your Education
Provide information about your academic history, such as degrees, certifications, and pertinent coursework. Bring attention to any academic accomplishments, accolades, or honours. If you have recently graduated or have minimal work experience, your educational background may be more important than your work history.
Focus on Transferable Skills
Along with job-specific skills, showcase transferable skills beneficial in various positions and fields. It could involve skills such as communication, critical thinking, and leading, collaborating, and being flexible. Give instances of how you have showcased these abilities in past positions.
Many employers utilise applicant tracking systems (ATS) to filter CVs for pertinent keywords before human recruiters review them. Use industry-specific terms in your resume to improve your chances of getting past ATS screening.
Top Sections to Have in Resume
Keep Your CV Layout Simple and Easily Understandable
Use bullet points, concise paragraphs, and spacing to enhance readability when paraphrasing while maintaining the word count. Avoid compact paragraphs and too much styling, as they can divert attention and hinder quick scanning of your resume.
Proofread Your CV
Thoroughly proofread your CV before submitting it to eliminate typos, grammatical errors, and formatting inconsistencies. Consider having a close friend or co-worker look over it, too, as they might spot errors you overlooked.
Submit Confidently
Save your CV as a PDF to maintain the format and guarantee consistency across all devices. When submitting your application, make sure to carefully adhere to the employer’s guidelines, whether through an online portal or email.
This article has been contributed by Ms. Karunya Sampath, Co-founder & CEO of Payoda Technologies.
When it comes to artificial intelligence, there is always a fear of missing out. However, AI is here to stay. The notion of AI has expanded so much over time that you may already be using it in your organization without even realizing it!
A decade ago, software was considered intelligent if it could send reminders or provide monthly reports. Automating complex workflows and if-else functions was so astounding that we labelled it intelligent. How clever!
Nowadays, AI has now gone beyond that. This article will discuss AI tech stacks and how to use them strategically and efficiently for your business operations.
Understanding the AI Technology Stack for Your Business
Various technologies are used for specific goals, including information management, storage, processing, and intelligent algorithms. The AI tech stack categorizes them into layers for more straightforward perception. Your AI tech stack is a collection of technologies, frameworks, and tools that address various aspects of AI implementation, from data collection to deploying AI-powered products.
Your AI tech stack has three layers: application, model, and infrastructure. Let’s look at each layer in depth.
The Application Layer
The Application Layer depicts user experience with features ranging from web applications to REST APIs that control data flow between client- and server-side environments. This layer is responsible for critical processes such as gathering inputs via GUIs, displaying visualizations on dashboards, and giving data-driven insights via API endpoints. React for the front end and Django for the back end are frequently used, with each picked for its benefits in tasks such as data validation, user authentication, and API request routing. The Application Layer serves as a gateway, routing user requests to the underlying machine-learning models while adhering to strict security protocols to ensure data integrity.
The Model Layer
For data processing and decision-making, the Model Layer serves as the engine room. TensorFlow and PyTorch are specialized libraries providing a diverse toolkit for machine learning operations such as natural language processing, computer vision, and predictive analytics. It involves feature engineering, model training, and hyperparameter optimization. Different machine learning techniques are evaluated using performance metrics, such as precision, recall, and F1-score. This layer receives data from the Application Layer, performs computations, and returns insights. The Infrastructure Layer provides resources.
The Infrastructure Layer
The Infrastructure Layer is essential for model training and inference. This layer assigns and manages computational resources like CPUs, GPUs, and TPUs. Scalability, latency, and fault tolerance are engineered at this level with orchestration technologies such as Kubernetes for container management.
Cloud services like AWS’s EC2 instances and Azure’s AI-specific accelerators are used to handle intensive computing. These services aren’t just passive recipients of requests. They’re dynamic entities that deploy resources wisely.
How the Modern AI Stack Came to Be and Its Current Relevance
Modern AI Stack aims to bring together the most excellent tools and approaches in one place to serve as a reference for:
AI leaders like managers, directors, VPs, and CTOs might learn more about new technologies/integrations and guide their teams toward the current AI stack.
ML Engineers and Data Scientists can discover new technologies by comparing them with their current stack. It will allow for optimizing business operations and staying ahead of the curve.
While it has grown dramatically, many organizations continue to find it challenging to keep up with the rapid evolution of the ML stack. Let’s dig deeper into where the current market is focusing on.
Enterprises Are Focusing More on These Modern AI Tech Stack Components
Artificial intelligence (AI) systems are built with multiple modules focusing on specific tasks but working together to ensure overall operation. This complicated stack of technologies is critical for creating AI capabilities, from data input to final application. The Open AI technology stack includes the following components:
Data Storage and Organization
The first step in AI processing is to store data safely and efficiently. Storage solutions such as SQL databases for structured data and NoSQL databases for unstructured data are essential. Big Data solutions, such as Hadoop’s HDFS and Spark’s in-memory processing, are necessary for large-scale data analysis. The storage type directly impacts the speed of information retrieval, which is crucial for real-time data analytics and machine learning.
Cloud and Scalable Infrastructure
The entire AI technology stack is typically run on a cloud-based infrastructure such as AWS, Google Cloud, or Azure. These systems provide scalable, on-demand computational resources for data storage, processing speed, and algorithmic execution. The cloud architecture enables seamless and harmonious operation of all the above components.
Natural Language Processing and Sentiment Analysis
NLP libraries, such as NLTK and spaCy, are the foundation for understanding human language. Transformer-based models, such as GPT-4 and BERT, improve understanding and context recognition in complicated applications like sentiment analysis. These NLP tools and models are frequently added to the AI stack after deep learning components for applications requiring natural language interaction.
Visual Data Interpretation and Recognition
Visual data requires computer vision technology such as OpenCV. CNNs can be employed in advanced facial recognition and item identification applications. These computer vision components commonly use machine learning approaches to improve multimodal information analysis.
Final Thoughts
As AI practitioners test and reap the benefits of the modern AI stack, new tools are being developed to meet demand. While numerous technologies are available to help you create a comprehensive AI stack, you must first complete three steps.
Is the investment in the tool much less than the cost of developing its capabilities from scratch?
Is the tool simple to learn and use, with dependable customer support? Is the tool flexible enough to accommodate additional features beyond the fundamental requirements?
Once the fundamental prerequisites have been met, other factors such as ease of use, platform infrastructure-agnostic setup, no or low code capabilities, and so on might be considered.
This article has been contributed by Satya S Mahapatra, Chief Brand Custodian and part of the Founder’s office at JUSTO Realfintech.
India’s real estate sector is on a growth trajectory with nearly 4.11 lakh residential units sold in 2023, registering a growth of over 33% from 2022. Similarly, the commercial and retail real estate segment have also witnessed phenomenal growth with rising demand within the manufacturing sector and flexible workspace, and equally supported by the increasing number of malls and organized retail outlets in the country. It is estimated that the commercial real estate segment will continue to grow at 21.1% CAGR to reach $106 billion by 2029. It is expected that the sector will reach $1.5 trillion by 2034.
The real estate sector in India, which was largely driven by sales agents, has witnessed rapid adoption of technology during the pandemic. This trend continued to evolve over the years to provide customers a more transparent and customised service solutions.
Pro-techs leveraged technology and launched innovative solutions across property search, virtual property tours, online property transactions, real-time market data & analysis, smart home solutions, sourcing online finance partners, online property listings, and property management to help ease the transactional process across the developer, channel partners, and buyers. With technology support, any potential investor or buyer can view property, access related documents, and complete the transaction from any corner of the world. However, the biggest challenge was to identify potential buyers from the crowd of leads and connect with them in a more personalized manner.
The use of AI tools in real estate has changed the approach for the developers and the channel partners while generating, assessing, and analyzing data for identifying potential buyers. In this article, Satya S Mahapatra shares insights on using AI to assess buying probability based on multiple data points.
The Top 5 Ways AI Has Helped to Generate Real Estate Leads
Here are the top five ways AI is helping generate real estate leads:
Predictive Analytics
AI tools are the most efficient in analyzing data based on factors like demographics, online behaviour, and past transactions to predict individuals who are more likely to transact immediately. Predictive Analysis uses historical and transactional data of the customers to make informed decisions.
AI can identify high-quality leads and help channel partners to focus on them for faster conversions.
Chatbots
Another challenge with physical contact is the numerous initial engagements with first-time website visitors and social media users, trying hard to convert them into potential buyers by confidently and convincingly responding to their every query. A lot of potential conversions are missed due to human error and negligence. AI chatbots are efficient in responding, sharing, and collating data with initial responders, and they are efficient in assessing and passing qualifying leads to channel partners for further follow-up.
Personalized Marketing
Personalization in communications is the key factor, and the right message can ideally convert a lead into a buyer. AI tools can collate and analyze customer data, and based on the preferences and behavior of potential buyers, it can tailor marketing campaigns that resonate with them.
Personalized communications across key social media platforms and emails can increase the likelihood of more generating leads, and convert the existing ones into buyers.
Prioritizing Leads
Assessing buying probability based on data points like past online and transactional behaviour is beyond normal human capabilities. On the other hand, AI tools process such data at a higher speed and assign a score to each lead indicating their likelihood of conversion.
By prioritizing leads with higher scores, channel partners can focus their attention on such potential buyers.
Automated Follow-Ups
AI can automate and streamline processes that would otherwise require continuous human intervention for seamless follow-up. AI tools can communicate with leads, and send personalized messages at periodic intervals to keep the leads informed and engaged on the various developments and schemes related to the property. Continuous communications can help nurture leads through the sales funnel until they are ready to make a decision.
The role of AI in generating qualifying leads has been one of the biggest differentiators for channel partners. As technology progresses, improved AI tools will help to further streamline the entire home-buying journey through a more data-driven approach. In the near future, salespeople will be equipped with AI tools that can provide real-time information, insights, and recommendations making them more effective and helping them to close leads faster.
This article has been contributed by Anuj Gupta, CEO of Youngrads.
In recent years, the education sector has undergone significant transformation, fueled by technological advancements and innovative approaches that enhance the overall learning and teaching experience for educators and learners. IBEF indicates that the Indian edtech market is poised to skyrocket to US$ 30 billion by 2031, a substantial leap from its 2021 figures and KPMG’s insights reveal India’s ascent as the world’s second-largest E-learning market after the US. Moreover other Countries worldwide, such as Australia and the UK, are actively embracing these technological advancements in the EdTech Sector. And at the forefront of this evolution is artificial intelligence (AI), which promises personalized and immersive learning and also fosters Edtech approaches, marking a pivotal shift in educational paradigms.
Artificial Intelligence is transforming the learning, providing groundbreaking solutions that reshape the interactions between students and educators in the EdTech space. These AI-driven tools elevate the educational landscape by tailoring experiences to individuals, fostering interactivity and streamlining efficiency. Previously burdened by work overload, educators struggled to cater to each student effectively. With AI integration, teachers globally can concentrate on delivering dynamic content and personalized learning, while also facilitating mentorship from around the world, thereby broadening students’ understanding through exposure to diverse perspectives and guiding them through uncharted territories.
How AI is enhancing the Education System and EdTech Initiatives?
As AI continues to seep into various industries, education is no exception. The sector is undergoing continuous evolution to meet new demands and embrace emerging trends. Here, let’s explore several AI trends that are reshaping the landscape, ushering in transformative changes and new opportunities :
Tailored Approach – AI algorithms analyze student data, like academic performance, interests and goals, to suggest fitting study programs. This enhances decision-making and program alignment, benefiting students. Additionally, AI personalizes in-class activities and assignments according to individual comprehension levels. This enables teachers to accommodate various learning styles and speeds, promoting inclusivity in education.
Real Time Assessment with AI – AI enhances the educational experience by analyzing student responses, offering immediate feedback and pinpointing areas for additional support. For instance, in the UK, the FirstPass online platform utilizes AI to provide real-time feedback to students as they answer open-ended questions. This approach fosters positive meta-cognition skills, as learners recognize areas for improvement and refine their work before submission. By eliminating the need to wait for teacher assessments, which can be time-consuming and delayed, students can promptly receive feedback to enhance their understanding and address areas needing improvement in both assessment and learning.
AR and VR – In EdTech, AI, VR and AR are pivotal. VR and AR foster interactive learning, elevating engagement and facilitating active participation. These technologies prioritize experiential learning, collaboration and interactive engagement over passive information consumption. They’re utilized across subjects such as engineering, science, anatomy, archaeology and anthropology. Esteemed institutions like Stanford and Harvard integrate VR/AR into their educational frameworks, harnessing their potential for enriching learning experiences.
Organising Course Material – AI significantly enhances EdTech initiatives by aiding teachers in crafting and structuring course materials, syllabi, lesson plans and assessments. Moreover, it facilitates personalized learning experiences by tailoring course content, like practice problems and interactive exercises, to individual students’ knowledge gaps, skills, and learning preferences. The generative AI plays a pivotal role in generating novel teaching materials, including quiz questions, exercises and concept explanations. This fosters the integration of contemporary educational content into syllabi, thereby bolstering students’ engagement and comprehension of modern curriculum elements.
Overall, AI’s contribution in education modernizes learning resources and also cultivates a more inclusive and effective educational environment.
Number of Indian Students Studying Abroad from 2017 to 2022
Benefits of AI in Edtech Initiatives
AI algorithms play a crucial role in the education sector, benefiting students both locally and internationally, such as those from countries like India pursuing education in popular destinations like Australia, the UK, and the USA. Through EdTech innovations, universities enhance study experiences. Here are the ways AI benefits students and teachers:
AI-powered tools offer invaluable assistance to students by simplifying complex concepts, leading to enhanced academic outcomes and higher graduation rates.
AI has the ability to tailor learning experiences to each student’s individual needs. Through constant analysis of student performance, AI algorithms pinpoint areas where students may need extra help. And offer tailored support by suggesting additional resources, recommending specific learning materials, and adjusting assignment difficulty to match each student’s proficiency level. This adaptability ensures that students are appropriately challenged and receive the necessary support to excel in their studies.
As AI and EdTech continue to thrive in the education sector, they are increasingly enticing students from India to explore international education opportunities, promising a richer learning experience and expanded career prospects. Through immersive AI and AR/VR experiences, learners gain practical, hands-on skills that bridge the gap between physical and virtual realms, offering newfound flexibility in job roles and career trajectories. EdTech, as a vehicle for social good, leverages innovative technologies to complement rather than replace traditional teaching methods. And AI plays an important role in enhancing EdTech initiatives, both in classroom settings and online processes, empowering educators to deliver more effective instruction. This synergy of technology and education facilitates access to international institutions and also fosters a culture of continuous learning, equipping students with the tools they need to thrive in an evolving landscape and chart their own paths to success.
This article has been contributed by Dr. Harshit Jain, Founder & Global CEO, Doceree.
In the continually evolving technological terrain, artificial intelligence (AI) and machine learning have stood out as the titans reshaping industries across the globe. In this revolution, healthcare emerges as a frontrunner, commanding a staggering 11% of the global GDP, and a hefty $9 trillion annually, according to WHO. Ranging from the creation of life-saving medications to improving diagnostic treatment to enabling precision in healthcare marketing practices, these technologies aren’t just tinkering around the edges, they’ve taking the centre stage in elevating every facet of the healthcare industry.
As new-age solutions seamlessly integrate into every stage of the healthcare journey, they mark a remarkable opportunity, propelling the entire healthcare ecosystem forward into a future of sustainable growth and profound societal impact.
In this piece, we will try to delve into the critical AI-powered mechanisms that create a future shaped with sustainable healthcare achievements for enhanced patient outcomes and quality treatment delivery.
Fostering Disease Accuracy Through Timely Diagnosis
The notion of employing technology for medical diagnosis isn’t novel. Yet, AI’s prowess ushers in a realm of advanced analysis and swifter decision-making, surpassing conventional diagnostic approaches. According to a recent industry study, India’s Artificial Intelligence (AI) diagnostics market is projected to grow from $0.02 billion in 2022 to $0.24 billion by 2030, registering a compound annual growth rate (CAGR) of 38% during the forecast period of 2022-2030. This growth is primarily due to AI systems capabilities in early detection of chronic diseases like Alzheimer’s, diabetes, cardiovascular diseases, and several types of cancers including breast cancer and colon cancer, simultaneously reducing the financial burden and severity of the disease.
Additionally, with Government’s efforts towards fast tracking electronic health records (EHR) adoption in India, AI can again prove helpful in analysing patient data records for genetic testing results, lifestyle factors and more, thereby identifying patterns that may put individuals at risk for certain diseases. This will enable healthcare providers to intervene early with accurate preventative measures.
Enhanced Healthcare Delivery
The strategic application of AI triggers has demonstrated reliability in enabling compliant-friendly real-time mapping of patient data, enabling life sciences manufacturers to share relevant messages (as per the patient requirements) to healthcare providers (HCPs), empowering them to deliver quality treatment while tending to the patient. This fine-tunes treatment strategies by factoring in unique patient variables and forecasting outcomes, thus guaranteeing tailored care through intelligent analysis of patient data. Further, using machine learning algorithms and AI-driven chatbots, AI can swiftly analyse vast datasets that aid in furnishing immediate aid and reducing administrative pressures on healthcare providers (HCPs). In surgical settings, robotic support can improve precision, diminishing complications and recovery durations, particularly evident in cancer treatments.
Leveraging Explainable AI (XAI) For Transparency in Healthcare
While the accomplishments attained through the integration of AI in medicine are noteworthy, building trust and credibility around its accuracy among end-consumers, specifically patients, is paramount. Hence, the utilization of explainable AI (XAI) is crucial to uphold transparency and provide accurate knowledge about the technology to both healthcare providers (HCPs) implementing the technology and patients undergoing treatment facilitated by it. Amidst the complex ecosystem of medical decision-making, XAI clarifies the rationale behind AI-powered diagnosis and treatment suggestions to shed light on the process for the sake of transparency. Once HCPs understand how AI systems make decisions, they can leverage their expertise to fine-tune AI’s performance, ultimately bolstering confidence in the decisions made for both – HCPs and patients.
According to a recent EY report, 48% of healthcare and pharma companies in India are set to integrate First-Gen AI solution within the next year. Through crafting tailored machine learning algorithms, governmental bodies and life sciences enterprises can streamline laborious tasks, preserving both time and research funds, thereby bringing more efficiency into R&D endeavours. For instance, intelligent use of algorithms can help AI decipher biological data, identify potential drug targets as well as assess their interactions with specific receptors. Even during clinical trials, AI can play a pivotal role in enhancing efficiency by identifying suitable candidates (during session with HCP), predicting potential outcomes, optimizing trial designs, leading to more successful and expedited drug discovery processes.
On drug marketing front, AI-driven marketing solutions potentially present a promising avenue for slashing exorbitant marketing budgets and amplifying sales conversion rates through precisely targeted relevant messaging aimed at HCPs. This strategic approach not only ensures HCPs remain abreast of emerging drug treatments/research but also empowers pharmaceutical brands to promote their offerings at minimal expense.
Ai in Health Care Market
Harmonizing Digital with Eco-Friendly IoT
In India, conventional pharmaceutical marketing approaches predominantly involve face-to-face interactions between representatives and HCPs, leading to labour-intensive processes, carbon emissions, and energy depletion. Shifting towards AI-driven digital platforms can address these concerns, enabling streamlined engagement with millions of HCPs at the click, while concurrently reducing environmental impact and resource usage. Additionally, integrating AI with Green IoT emerges as the cornerstone of sustainable progress in healthcare, wherein Green-IoT-empowered medical equipment and wearables can collate health data for further analysis by AI algorithms to improve patient outcomes and make decision-making process for healthcare professionals (HCPs) much more efficient.
To sum up, as the future of healthcare highly depends on the technology and human expertise balance, it becomes crucial to dedicate considerable focus and resources to fostering responsible utilization and ethical deliberations throughout the stages of AI integration. This approach ensures sustainable technological advancement and guards against possible drawbacks, thereby ensuring that AI contributes positively to healthcare transformation. By aligning with societal values and priorities and optimizing its capabilities, AI can significantly enhance patient outcomes while upholding ethical standards and long-term sustainability.
This article has been contributed by Mr. Sarvagya Mishra, Co-founder and Director, Superbot, an AI-powered voice agent startup.
In today’s hyper-connected world, businesses face growing pressure to deliver personalized and efficient customer service. This demand is particularly pronounced among small and medium-sized enterprises (SMEs), which heavily rely on innovative ways to enhance their customer support offerings. Recognizing this need, voice assistants (Vas) and smart assistants have emerged as transformative tools, revolutionizing the way SMEs interact with their customers.
As per research conducted by The Capgemini Research Institute, over three-quarters (76%) of businesses have reported experiencing tangible benefits from implementing voice or chat assistant initiatives. Additionally, 58% of businesses stated that these benefits either met or exceeded their initial expectations. These benefits encompassed remarkable reductions in customer service costs, with some experiencing more than a 20% decrease, along with a noteworthy increase of over 20% in consumer utilization of digital assistants.
Evolution of Voice Technology and Smart Assistants
The journey of AI voice agents traces back to the dawn of computing in 1966, with the emergence of ELIZA, the world’s first chatbot. Designed as a virtual therapist, ELIZA interacted with users through a simple decision tree, offering pre-written responses to simulate human-like conversations. This early experiment laid the groundwork for the evolution of chatbots and voice assistants, paving the way for their integration into various aspects of modern life.
Building upon the success of ELIZA, chatbots evolved into phone support tools, enabling callers to select options and engage in rudimentary conversations. The development of ALICE (Artificial Linguistic Internet Computer Entity) in 1995 marked a significant leap forward, as it introduced natural language processing (NLP) capabilities, allowing for more contextually relevant interactions. ALICE utilized artificial intelligence markup language (AIML) to engage users in more sophisticated conversations, setting the stage for the integration of AI and machine learning into voice assistants. The convergence of AI and machine learning during the internet boom propelled the transformation of simple chatbots into intelligent virtual companions. These AI voice agents emerged as powerful tools capable of executing tasks, providing information, and engaging in natural language conversations with users.
AI voice agents operate through a sophisticated combination of artificial intelligence (AI) and natural language processing (NLP) technologies. These agents begin by transcribing spoken words into text through speech recognition algorithms, then proceed to interpret the meaning behind the words using natural language understanding (NLU) techniques. By recognizing keywords, phrases, and patterns within the input text, AI voice agents identify the user’s Intent or purpose behind their query. They consider contextual information, previous interactions, and user preferences to generate personalized responses, engaging in dynamic dialogues while managing turn-taking and conversation flow. Continuously learning from user interactions and feedback, AI voice agents adapt and improve their performance over time using machine learning algorithms. Behind the scenes, they integrate with backend systems, databases, and third-party APIs to retrieve information and fulfil user requests in real-time.
Worldwide Natural Language Processing Market Revenue
How AI Voice Agents Work
Today, numerous conversational AI service providers offer user-friendly DIY platforms, empowering both users and businesses to customize their conversational experiences with greater control and flexibility. These platforms simplify the process of creating personalized bots without requiring any coding skills, allowing users to effortlessly drag, connect, and customize their AI agents to deliver desired responses and voice tones within minutes. Remarkably, these platforms often include cloud-based blended contact centres, providing clients with a comprehensive ecosystem for handling calls all within a single platform. Here’s how these AI voice agents offer numerous benefits, enhancing customer interactions and streamlining business operations across various sectors:
Personalized Assistance
AI voice agents revolutionize customer support in various industries by providing tailored assistance to address specific needs and preferences. For instance, in the healthcare sector, AI voice agents can guide patients through appointment scheduling, provide medication reminders, and offer personalized health tips based on individual medical histories. Similarly, in sectors such as Direct-to-Consumer (D2C) and E-Commerce, AI voice agents empower businesses with real-time fulfilment capabilities and rapid responses. This functionality helps reduce Return to Origin (RTO) rates, minimize cart abandonment, boost Customer Satisfaction (CSAT), and Decrease Average Handling Time (AHT).
Efficient Operations
AI voice agents enhance business operations across various sectors, optimizing processes and boosting efficiency. In banking, for instance, these agents automate routine tasks like balance inquiries, transaction history requests, and payment reminders, alleviating the burden on customer service staff and enhancing response times. Likewise, in the hospitality industry, AI voice agents facilitate hotel reservations, handle check-in/check-out procedures, and provide concierge services, allowing staff to focus on delivering personalized guest experiences.
24/7 Availability
AI voice agents ensure round-the-clock support for customers, offering assistance and guidance regardless of time constraints or business hours. In the telecommunications industry, AI voice agents enable subscribers to troubleshoot technical issues, activate new services, and inquire about billing information at any time of day or night, all in multiple languages. In like manner, educational institutions utilize AI-driven voice agents to automate admission counselling processes effectively. This reduces initial interaction times with students to under five minutes and automates lead profiling. As a result, human counsellors can dedicate more time to actual counselling, saving 60% of the time previously allocated to lead profiling.
Enhanced Productivity
AI voice agents optimize workflows by automating repetitive tasks, freeing up employees to concentrate on high-value activities. In the legal sector, for instance, AI voice agents can assist lawyers with legal research, document drafting, and case management tasks, freeing up time for attorneys to dedicate to complex legal analysis and client consultations. And when it comes to complex sectors like logistics, AI voice agents effortlessly facilitate order tracking, shipment scheduling, and route optimization, enabling logistics professionals to manage logistics operations more efficiently and effectively.
Future of AI Voice Agents
New predictions indicate that AI will play an increasingly central role in customer interactions, with an estimated 95% of interactions expected to be handled by AI without human involvement by 2025. This paradigm shift highlights the growing importance of AI voice agents in shaping the future of customer service and business operations.
However, as businesses integrate AI voice agents, they must prioritize data privacy, transparency, and ethical usage. Continuous training can ensure seamless collaboration between employees and AI systems, facilitating effective utilization of AI capabilities. Notably, adaptability is crucial for businesses to keep pace with evolving technology and changing consumer expectations, thereby fostering growth and innovation in the digital age.
This article has been contributed by Kartik Chhaya, COO of Rupeeseed.
In today’s rapidly evolving financial landscape, brokerage platforms are undergoing a transformative shift driven by advancements in artificial intelligence (AI) technology. The integration of AI into brokerage platforms is revolutionizing the way brokers and investors engage with financial markets, offering enhanced trading capabilities and unprecedented insights.
‘As the financial industry harnesses the potential of AI, brokerage platforms emerge as pioneers of innovation. At Rupeeseed, we recognize the significance of emerging technology trends, such as AI integration, for enhancing trading capabilities and delivering superior experience. Our dedication to staying ahead of technology trends drives continuous innovation and evolution, ensuring our clients benefit from the latest advancements, “says Mr. Kartik Chhaya, COO of Rupeeseed.
Data-powered insights have played a vital role in guiding trading decisions on brokerage platforms. Traditional methods of data analysis, relying on manual processing and human interpretation, are increasingly falling short in the face of growing data volumes and market complexities.
With the advent of AI integration, brokerage platforms can process and analyze massive datasets with speed and precision, uncovering valuable insights that may have previously gone unnoticed. By harnessing machine learning algorithms, brokers can provide deeper insights of market dynamics, identify trends, and empower traders and investors make more informed decisions.
AI-Powered Data and Its Benefits
The primary benefits of AI-powered data analytics are identifying hidden patterns and multilevel insights in market data that may be imperceptible to human analysis. By processing large volumes of structured and unstructured data sources such as market prices, news articles, social media sentiment, and economic indicators, AI algorithms can identify correlations and relationships that traditional methods may overlook. This enables brokers to equip themselves with effective data, identify high probability opportunities, and mitigate risks more effectively.
Additionally, AI-powered data analytics enhances the efficiency of trading operations by automating repetitive tasks, streamlining decision-making processes, and providing real-time insights. Ultimately, AI integration empowers brokerage platforms to offer more sophisticated and personalized services to investors, driving greater efficiency, effectiveness, and innovation in the financial industry.
Integration and Challenges for Solution Providers and Brokers
While AI enhances trading capabilities and user experiences, its successful integration requires navigating technical, regulatory, and operational challenges. From a technical standpoint, integrating AI solutions requires robust infrastructure and seamless collusion with existing systems in order to handle large data in real-time. AI tools should address scalability concerns to accommodate the growing demands of users and market fluctuations.
On the regulatory front, brokers must adhere to stringent data privacy regulations and compliance standards when implementing AI solutions. Operationally, investing in staff training and organizational restructuring is necessary to effectively leverage the capabilities of AI technology. Equipping teams with the skills and knowledge to interpret AI-generated insights, optimize trading strategies, and provide value-added services to clients is vital.
Current AI Trends Around the Periphery
AI integration is reshaping the financial industry, driving innovation and transforming traditional trading practices. One trend is the increasing adoption of natural language processing (NLP) and sentiment analysis to analyze textual data sources such as news articles, social media posts, and earnings reports.
Another prominent trend is the rise of explainable AI (XAI) techniques, enhancing transparency and interpretability in AI-driven decision-making processes. As regulators and investors demand greater accountability and understanding of AI-generated insights, brokers are increasingly integrating XAI methods into their platforms to provide users with clear explanations of AI-driven recommendations and trading strategies.
Additionally, the convergence of AI with other emerging technologies such as blockchain and edge computing is driving new opportunities for innovation in brokerage platforms. Blockchain technology offers enhanced security and transparency for financial transactions, while edge computing enables real-time data processing and analysis at the edge of the network, reducing latency and enhancing efficiency.
Boosted Deliverables Through AI
AI-driven automation streamlines trading processes and enhances operational efficiency for both brokers and investors. Manual and time-consuming tasks such as data analysis, trade execution, and portfolio management are now automated through AI-powered tools.
AI integration enables personalized services to individual investors based on their preferences, risk profiles, and investment goals. Machine learning algorithms analyze client data to offer customized recommendations and risk management strategies, driving client satisfaction and loyalty.
Furthermore, AI-powered risk management tools enable brokers to mitigate risks and protect client assets more effectively. By continuously monitoring market conditions and portfolio performance, AI algorithms can identify potential risks and vulnerabilities and implement proactive risk mitigation strategies. This minimizes the impact of market fluctuations and unexpected events on investor portfolios, safeguarding their financial interests.
Global Online Trading Market from 2020 with Forecasts to 2026
Future Trends
Several trends are expected to shape the trajectory of brokerage platforms and redefine the landscape of the financial industry:
Augmented Intelligence: As AI technology matures, Brokers will increasingly employ augmented intelligence, blending human expertise with AI insights. This approach enables informed decisions by combining human intuition with AI analytics.
Predictive Analytics: Future platforms will feature predictive analytics, allowing brokers to anticipate market trends accurately. AI algorithms will forecast market movements and identify opportunities, enabling proactive strategy adjustments.
Personalized Services: Platforms will prioritize personalized services, leveraging AI to tailor recommendations and strategies to individual investor needs. This enhances client satisfaction and fosters long-term relationships.
Quantum Computing: The emergence of quantum computing promises unparalleled computational power, revolutionizing brokerage capabilities. Quantum algorithms will optimize trading strategies and risk management with exceptional efficiency.
Ethical AI: With AI integration, brokers will emphasize ethical practices, ensuring transparency and accountability. Ethical AI frameworks will uphold regulatory standards and protect investor interests.
“As AI technology continues to evolve, brokerage platforms are at the forefront of innovation, reshaping the way investors engage with financial markets. At Rupeeseed, we’re dedicated to delivering robust and scalable capital market solutions to brokers and wealth firms. Our offerings enhance trading capabilities, streamline processes, and deliver personalized experience. The future of brokerage platforms holds immense potential, and we’re eager to lead the way by providing integrated solutions to financial service providers, adapting to the evolving technology trends.”, says Mr. Kartik Chhaya, COO of Rupeeseed.
In conclusion, the future of brokerage platforms is characterized by the convergence of AI technology, predictive analytics, personalized services, quantum computing, and ethical AI practices. As brokerage platforms continue to evolve, they will play a pivotal role in shaping the future landscape of the financial industry and driving positive outcomes.
This article has been contributed by Padmanava Das, Associate Director of Career Services, FLAME University.
Internships are important for college students because they provide a unique opportunity to gain real- world experience, develop job-specific skills, and cultivate coordinated work skills while in school. For many students, an internship is the first opportunity to apply theoretical knowledge gained in the classroom to a real-life situation in the workplace.
This experience not only enhances their learning but also builds confidence in their chosen field. Internships also help students make informed decisions about their careers by providing information about industry trends, workplace practices, and the skills needed to succeed in specific roles. Having internship experience can be a significant advantage in a competitive market. Internships also create networking opportunities that allow students to connect with mentors, peers, and industry professionals who can provide guidance and open doors to future career opportunities. In some cases, internships can lead to full-time employment and give students the opportunity to work immediately after graduation.
Exposure to business practices, the ability to earn credits, and the ability to explore different career options further highlight why internships are an important step for new college students looking to jump-start their careers.
Here’s a detailed process to help you find the best summer internships while attending university:
Determine your Career Goals
Before you begin your internship search, take some time to define your career goals. What profession do you want to master, and what skills do you want to improve? This perspective will provide you with better opportunities based on your interests and career goals.
Create an Internship Schedule
Internships are available during summer breaks and throughout the school year. Plan your work schedule to allow ample time for your internship. Create a schedule that allows you to dedicate two to three days a week to your internship without interrupting your studies.
Prepare your Supporting Documents
Writing a good resume and cover letter is very important. Showcase your education, skills, and experience. If your field requires certification, create one to showcase your work. Also, make sure your online presence is professional. Update your LinkedIn profile and remove irrelevant content from your personal social networks.
Explore your Connections
Finding an internship can be done in a variety of ways. Start by looking for internships online and using your connections. Talk to teachers, colleagues, friends, and family about career opportunities. If you have a specific company in mind, contact them directly to inquire about an internship.
Here are the different types of internships to consider:
Paid Internships: These internships provide compensation but can be more competitive. They often require a full-time commitment.
Unpaid Internships: These internships offer an unpaid stipend but are more competitive. They can be more flexible, but they are still useful.
Virtual Internships: These internships offer maximum flexibility by allowing you to work remotely. However, they are less effective at building personal relationships.
Part-time Internships: These internships are ideal for evaluating schools or other positions. They tend to have more flexible work schedules.
Full-time Internships: These internships provide great experience but require more time. This can be converted to full-time employment with the organization based on your performance during the internship period.
Seek Help from College Career Services
Most universities have a career services department to help students with their careers. They generally offer services like resume reviews, mock interviews, and internships. Career services can also connect you with potential employers.
Attend a Career Fair
Career fairs are a great way to meet employers and learn about internships. They give you the opportunity to think for yourself and learn about different companies. Some employers invite current employees to share their experiences.
Identify your Career Choice
Once you have identified a potential career opportunity, evaluate it carefully. Consider factors such as job type, education, and career prospects. Research the company and make sure its values match yours. This will help you identify internship opportunities in advance.
Prepare for The Interview
Most internships require an interview. Get your feet wet, research the company, learn about the position, and practice interview questions. Preparation will make a big difference in how you act during the interview.
Post-Interview
After the interview, send a thank-you note expressing your gratitude for the opportunity. This behavior shows professionalism and makes a good impression.
The article has been contributed by Mr. Navkaran Singh Bagga, CEO & Founder, Akvo.
In today’s world, water scarcity affects over two billion people globally, posing a severe threat to both human health and economic stability. Innovative solutions are imperative to address this crisis. Akvo’s atmospheric watergenerator (AWG) technology represents a breakthrough, offering a sustainable and scalable source of clean water by extracting moisture from the air around us.
Akvo’s AWGs utilize cutting-edge technology to condense moisture from the air, even in arid environments, transforming it into potable water. Key features include:
High Efficiency: Our systems are designed to optimize water production while minimizing energy use, suitable for both humid and dry climates.
Scalability: From small, portable units for households to large-scale installations for industrial use, our technology caters to diverse needs.
Eco-Friendly: By using renewable energy options and having minimal environmental footprints, our AWGs offer a green alternative to traditional water sources.
Benefits for Companies
For businesses, investing in AWG technology is not just about securing an independent water source—it’s also a strategic move towards sustainability. Benefits include:
Reduced Water Footprint: Companies can drastically cut down on the water they draw from traditional sources, reducing strain on local resources.
Cost Efficiency: Over time, the investment in AWG technology pays off as companies reduce expenses associated with water procurement and treatment.
Enhanced Corporate Responsibility: Using innovative water solutions boosts company profiles as pioneers in sustainability, appealing to eco-conscious consumers and investors.
Implementation Steps for Companies
Implementing AWG technology involves several straightforward steps:
Site Assessment: Evaluating the atmospheric conditions and space availability to optimize system placement.
Installation: Setting up the infrastructure, which can be integrated with existing facilities.
Operation Training: Educating staff on system management to ensure efficient operation.
Maintenance: Regular checks and servicing to maintain optimal performance.
Measuring Impact: Key Metrics, Tracking, Analyzing, and Growth Statistics
The impact of AWG systems can be quantified through various metrics:
Water Production Volume: Daily liters of water generated.
Energy Efficiency: Energy required per liter of water produced.
Cost Savings: Reduction in water-related expenses over time.
Sustainability Impact: Decrease in the use of local water resources and reduction in carbon emissions.
Case Studies
Large Corporate in Bangalore: Utilizing Akvo’s technology, this corporate giant generates 5,000 liters of water daily using our OPEX model. Under a five-year contract, they pay per liter of water generated, emphasizing cost-effectiveness and sustainability. This system not only secures an independent water source but also reduces the corporate’s reliance on bottled water, thus lowering their carbon footprint and overall environmental impact.
Very Large Corporate in Chennai: These corporate employs our technology on a CAPEX basis, producing a remarkable 30,000 liters of water from air each day. By shifting away from bottled water, the company significantly cuts down on the environmental damages associated with plastic waste and transportation emissions. Financially, the cost per liter of water generated from air is substantially lower than the ongoing expenses tied to purchasing traditional 20-liter jars or 1-liter bottles.
Atmospheric Water Generator Market Share, By Application, 2022
Conclusion
As we face escalating global water challenges, innovative solutions like atmospheric water generation stand out as both effective and essential. Akvo’s technology not only provides a direct answer to water scarcity but also aligns with broader environmental sustainability goals. By adopting such technologies, businesses and communities can secure their water future and contribute to a more sustainable planet.
This article has been contributed by Manisha Dash , Head HR – APAC, Celigo India.
Performance assessments are stepping stones to personal and professional development. Fundamentally, before your performance review, always make sure you’re confident about what you’ve achieved at work. Think about the specific ways you’ve helped projects, met or gone beyond goals, or helped your team succeed. Be ready to talk about these things in detail during your review. It’s also helpful to get feedback from your coworkers or Managers to understand how they see your performance. Practice explaining your contributions clearly and confidently, and how they’ve helped the company. Finally, see your review as a chance to learn and grow. Be open to hearing feedback and talk about your goals with your manager.
Filling out the feedback forms is like giving your genuine opinion on how things are going at work. It’s important in a performance review because it’s an opportunity for you to share your thoughts and feelings about your job or the role. When you fill out these forms, you’re telling your Manager what you think you’re doing well and where you might need some help. This helps your Managers and the Management to understand how they can support you better and what changes might be needed to make things run smoother. Plus, it shows that you’re engaged and interested in improving, which is always a good thing. Overall, filling out all review forms like self, peer, upward is important because it’s a way for you to have a voice in your performance review and make sure your needs are being heard.
Understanding The Assessment Procedure
Understanding the Assessment Procedure at the start of a performance review is super important because it helps you know what to expect. It’s like having a roadmap before going on a trip – you know where you’re headed and how to get there. When you understand how you’ll be evaluated, you can prepare better. You’ll know what kind of things your Reporting Manager will be looking at, like your achievements, skills, focus areas and how well you’ve performed in the particular role and your readiness for the next one. This knowledge helps you showcase your strengths and address any areas where you might need to improve. Plus, it gives you confidence because you’re not walking into the review blind – you know what’s coming and how to handle it. Overall, understanding the assessment procedure sets you up for success in your performance review.
Reflecting On Your Achievements
Reflecting on your achievements is like taking a step back and looking at all the cool stuff you’ve done at work. It’s important during a performance review because it helps you see how much you’ve accomplished. When you think about the things you’ve achieved, like finishing big projects, helping your team, mentoring juniors or learning new skills, it reminds you of the impact you are creating in business and what you’re good at. Plus, it gives you specific examples to talk about during your review, so you can show your Manager how awesome you’ve been. Reflecting on your achievements also helps you set goals for the future – you can see what you’ve done well and what you want to do next.
Identifying And Acknowledging Areas For Improvement
Identifying and acknowledging areas for improvement is like recognizing where you can grow at work. It’s important in a performance review because it helps you get better at your job. When you figure out the things you can do better, like learning new skills or fixing mistakes, you’re taking steps to improve yourself. Plus, it will showcase your awareness and willingness to work on it. This can lead to support and resources to help you improve even more.
Setting SMART Goals
Setting SMART goals is like making a plan for what you want to achieve next at work. According to your self-assessment, feedback received, and the strategic goals of the organization, you should establish goals that align with your career aspirations. It’s important in a performance review because it gives you something to aim for. When you set SMART goals, you’re making them Specific, Measurable, Achievable, Relevant, and Time-bound. This means they’re clear and realistic targets that you can work towards. Having these goals helps you stay focused and motivated. By setting SMART goals, you’re taking control and giving yourself a roadmap for success.
Strategic Performance Measurements According to Professionals Worldwide in 2021
Seeking Continuous Improvement
Seeking continuous improvement to stay ahead of the game to keep getting better at work, knowing how evaluations work, and thinking about what you’ve accomplished through your hard work. Treat each feedback as an opportunity to fine-tune your route to success. Performance evaluations are like stops along the road of your career. They show you how far you’ve come and where you’re headed. By facing them with confidence and being open to feedback, you can celebrate your successes and keep learning. With every evaluation, you’re not just being assessed; you’re also getting better and closer to your goals.
Arijit Karan
