As the end of 2022 draws near, it is time once again for Creative Virtual's annual year in review blog post. Every year we take this opportunity to reflect on the hard work of our team, our contributions to the conversational AI industry, and a few of our company's biggest highlights from the past 12 months. Two of the things we are proudest of at Creative Virtual are our experienced, dedicated team and the unique expertise we provide to our customers and partners. Whether it's through our product development or our collaborations with individual clients, it's important to us that we consistently deliver the best solutions possible. Having an analyst group recognise us for this is always an exciting bonus – and that's what happened again this year.

Lauren Fitzpatrick Shanks is the founder and CEO of KeepWOL and an award-winning engineer and tech leader, who spent fourteen years working at five Fortune 500 companies, holding various leadership roles in design, system testing, product creation, staffing, software program management, and operations. Lauren is the first Black woman to graduate from The University of Kansas' Aerospace Engineering Department and the first Black woman to win the American Institute of Aeronautics and Astronautics (AIAA) international design competition. KeepWOL is a game-centric talent development platform that combines live multiplayer games, AI technology, and end-to-end learning integration to deeply understand how employees think and what influences their decisions. Could you discuss how you chose engineering as a career path, and even pursued a bachelor's degree in Aerospace Engineering, all while realizing that it was not the best match for you? I wouldn't say that engineering wasn't a perfect match for me. I have an uncanny ability to visualize processes and objects before they are even prototyped or in motion.

Yes, we know you've heard it. And keep your brand ready for what's coming on Twitter. We've compiled a list of 101 global Twitter influencers who'll help you nail your engagements and build your brand presence on Twitter. Here's the badge for all the Twitter Influencers to show it off on social media Domain expertise & research interests have been around artificial intelligence, cybersecurity, the Internet of Things, blockchain, and sustainability. Area of interest includes Networks, Causal Inference, Machine Learning, AI, Big Data, Marketing, IT, Experiments, Social Commerce, Behavior Change, and Productivity.

Improving the speed and accuracy of clinical diagnosis, augmenting clinical decision-making, reducing human error in clinical care, individualizing therapies based on a patient's genomic and metabolomic profiles, differentiating benign from cancerous lesions with impeccable accuracy, identifying likely conditions a person may develop years down the road, spotting early tell-tale signs of an ultrarare disease, intercepting dangerous drug interactions before a patient is given a new medication, yielding real-time insights amidst a raging pandemic to inform optimal treatment of patients infected with a novel human pathogen. These are some of the promises that physicians and researchers look to fulfill using artificial intelligence -- promises poised to transform clinical care, lead to better patient outcomes, and, ultimately, improve human lives. Yet, AI is no silver bullet. It can fall prey to the cognitive fallibilities and blind spots of the humans who design it. AI models can be as imperfect as the data and clinical practices that the machine-learning algorithms are trained on, propagating the very same biases AI was designed to eliminate in the first place. Beyond conceptual and design pitfalls, realizing the potential of AI also requires overcoming systemic hurdles that stand in the way of integrating AI-based technologies into clinical practice.

"Even primitive autonomous technology that exists today is better than an average human driver on the road" Recent moves by big players signal at the potential of India's AV ecosystem. Tata Elxsi has created a full-stack IP called AutonomAI to accelerate programs for AVs, and Intel's decision to gather data on traffic patterns to create algorithms to be used in India and overseas for autonomous driving. Moreover, a large number of AV startups have come up the ladder, especially in the last six years, namely: Swaayatt (2015), AutoNxt (2016), Ati Motors and Flux Auto (2017), Flo Mobility (2019), Minus Zero (2020) etc. Autonomous vehicles (AVs) startups in India, including Swaayatt Robots, Ati Motors, Netradyne, have raised substantial funding recently. Saurabh Chandra, Co-Founder, Ati Motors, said: "There is a confluence of factors due to the pandemic: workforce management has become challenging, prices are rising, making automation more attractive while technology is getting better and cheaper. There is an explosion of demand in the eCommerce space that can't be addressed by simply adding people; technology is the only way to handle the scale." India is a huge market.

Abstraction is the cornerstone of modern-day scalable formal verification. Classic papers in formal literature talk about abstraction as a Galois connection, but understanding abstraction when you're new to formal is not easy. We discuss it in detail in our upcoming webinar on 11 Feb 2021 but for now, here is an intuitive and simple explanation of abstraction and refinement.

Ahmed started his career at Cornell's Autonomous Systems Laboratory focusing on human-robot interaction and Bayesian data fusion as well as building algorithms for autonomous cars. What initially attracted you to AI and data science? I fell in love with how people make decisions. Starting with psychology, to social engineering, and finally to how we reason about uncertainty. This led me to dive into Bayesian mathematics and the world started making more sense.

Ashutosh Saxena is the Founder and CEO of Caspar.AI, that builds AI-enabled homes for senior and luxury housing. Dr. Saxena received his Ph.D. (2009) in Computer Science from Stanford University with Andrew Ng. He was an Assistant Professor in the Department of Computer Science at Cornell University. At Cornell, he founded RoboBrain, a joint venture between Stanford, Berkeley, Brown, and Cornell to develop a knowledge engine that allows robots to learn from internet videos and share their learnings in the physical world with each other. He has over 12,000 citations in the area of Artificial Intelligence, with numerous awards including: SF Business Times 40 Under 40 (2020), TR35 Innovator Award by MIT Technology Review (2018), Eight Innovators to Watch by Smithsonian Institution (2015), NSF Career Award (2013), Microsoft Faculty Fellow (2012), Alfred P. Sloan Fellow (2011).

First edition of the event series to be held every three months with a global outreach. Experts with diverse backgrounds and perspectives share their insights and experience on how to implement AI ethics theoretical frameworks. Join in and ask your questions to the stellar speakers in Q&A sessions. Jean-Matthieu Schertzer - H2O.ai, Senior Data Scientist

The government recently launched a new education policy that aims to change the country's face of education and make it more practical-driven. The new education policy has come after 30 years which was prepared by a panel of experts led by the former ISRO chief K Kasturirangan. Apart from renaming the HRD Ministry as the Education Ministry, there are many modifications brought in, that primarily focus on skilled-based education. To begin with, the current 10 2 structure has been modified to 5 3 3 4 structure. The new academic session will begin in September-October.