Despite being viewed as a technology of the future, artificial intelligence (AI) has already impacted our daily lives in several ways. Right from the time we wake up, till we go to bed, AI is constantly a part of our lives in forms like voice assistants, online banking, OTT, face IDs among others. Shaping global standards for AI A number of standards covering significant AI issues are now being developed by the ISO/IEC committee for artificial intelligence under the working title ISO/IEC 42001 ISO/IEC DIS 42001 – Information technology -- Artificial intelligence -- Management system. The ISO/IEC 42001 standard, which is being developed by 50 countries, will be essential for improving AI governance and accountability globally. ISO/IEC standardisation brings together the opinions of all relevant stakeholder groups, including SMEs, academia, civil society, and many more.

Technology in education is changing how we handle personalised learning due to artificial intelligence (AI) (EdTech). Using AI-powered tools, educators can create custom learning experiences that cater to the individual requirements and skill sets of each student. The use of technology is assisting educators in streamlining administrative chores, enhancing learning outcomes, and raising student engagement. Here are some ways that show AI is transforming personalised education in edtech: Pathways for Personalized Learning The ability of AI in EdTech to design personalised learning pathways for students is one of its most important advantages. Algorithms are used by AI-powered platforms to analyse pupil data and determine their strengths and weaknesses.

By Aditya Malik, Founder, ValueMatrix.ai What oil was in the 18th century, data is in the 21st century – immensely valuable and influential. With the run towards AI supremacy, businesses and organizations possessing qualified and unbiased data win. However, the data openly available is marred with conscious and subconscious bias, largely due to woke or un-woke nature of humans. We don't know what we don't know – right or wrong is only temporary, as in always waiting to be judged with time.

My earlier blog on AI use cases in insurance covered use cases such as customer conversations, motor on the spot claim servicing, integration with voice, fraud detection and cross-sell / upsell opportunities. Since there was a request for an encore, covering lesser known use cases, here we go. Claims beyond motor insurance AI-infused automation of claim processes in lines other than motor have picked up speed. While experts may still be required for assessment in complex and high value cases, initial steps such as entry, hard perusal, the classic step of "smelling" the low-hanging "rat" etc can be done by the AI engine, thereby freeing up the claims team for higher value work. Paperless processing When you have data coming to you in myriad forms (handwritten forms, printed forms, text, images, voice, video etc), the ability of AI engines to ingest this data at both scale and agility, and churn out meaningful insights is just amazing!

Velocity has integrated this latest advancement in artificial intelligence with its existing analytics tool – Velocity Insights. Velocity Insights is India's largest eCommerce analytics platform that is trusted by 3000 Indian eCommerce brands to make informed business decisions. Brands that utilize Insights receive a daily business report on Whatsapp. Further, these brands can also access benchmarks to evaluate their performance relative to other brands in the industry. Velocity Insights currently provides advanced analytics that contains information about an eCommerce business's sales and marketing performance.

Historically humans had various prejudices and biases like racism, classism, antisemitism, ableism, sexism, misogyny, etc. No matter which human society you live in, it would have been peppered with prejudices based on sex, gender, religion, complexion, beauty, social class, etc. in the past. However, now, we know better. The extent to which human bias can infiltrate artificial intelligence (AI) systems and cause detrimental damage is a hot topic in the tech community. To put it simply, AI bias is a problem that appears when an AI algorithm generates results that are systematically skewed due to false assumptions made during the AI training process.

Data scientists are critical to the success of many fintech firms, but the area is still relatively young and unproven. As technology advances, data scientists must stay up with new breakthroughs and adapt their skill sets accordingly. Real-time analytics, consumer analytics, algorithmic trading, Robo-advisors, financial planning, and other applications of data science in the FinTech industry are useful. Some tech-savvy entrepreneurs are attempting to establish wholly new information services firms of data captured, managed, and analyzed utilizing FinTech data science. Several variables are driving the "Big Data" (or "information services") opportunity in FinTech, but I'll focus on just two.

No subject has animated the minds of technologists and business experts in the last decade more than "Digital Transformation." The term refers to the set of principles, processes, and technologies required to move an organization from analog to digital. It is a packed term because it implies a variety of things, including the notion that business and technology are quickly converging into a singularity. Indeed, modern organizations are built on technology-based chassis as they build products, provide services, and engage with the world. The business benefits of Digital Transformation are real.

There is a completely new way how business is being conducted worldwide as they have gone through technology advancement and automation. Logistics industry is not left behind, rather has been in the forefront as this is the main driver to connect the producer to the consumers. The logistics industry has brought massive improvement over last couple of years and Covid pandemic has helped in speeding up the process. There are new tools with better technology to manage the complex operation which have improved the overall consumer experience, bring more transparency and visibility to the supply chain, and reduce the order processing time. There is a lot of change in customer buying behaviour, corporates are getting used to the online platforms to run their procurement exercise, and individual like to buy products online and expect quick deliveries, even willing to pay additional price sometimes for express deliveries.

The technology services market is constantly changing. As the COVID-19 pandemic showed us, the technology services players who were ready to adapt their business models, were ultimately better prepared. Remote working became the norm and overnight technology service providers became ready to change their processes and created new ways of collaborative working. As the pandemic and many countless disasters or challenges in the past have shown us, change is the only constant, and it is vital to differentiate in what is clearly a crowded technology services market. Observability With soaring IT complexity, it is increasingly becoming important for technology service providers to have a deep understanding of their highly distributed application topologies and dependencies.