The year 2022 has seen significant progress in terms of the adoption and expansion of AI and data science. The year has been rightly called the year of Text-to-Anything, with some phenomenal artwork being generated by AI-based tools like Dalle-2, Imagen, Midjourney and StableDiffusion. Striding on, we expect generative AI to become more accessible and expand into newer horizons. As governments and enterprises have increasingly moved towards digitisation with data driving their operations and decision-making, very often, questions cropped up about data privacy and security. One of the prominent is the Indian Government's initial scrapping of the Data Protection Bill to replace it with a more comprehensive Digital Personal Data Protection Bill. With more regulations introduced, it is likely that future developments in data science and the AI field will be based on the framework surrounding data privacy and security.

Have you ever hopped upon a roller coaster and regretted it instantly? It opened with the Australian wildfire and the headlining act – the Covid-pandemic has claimed 1.84 million human lives and counting. But 2020 has given technological evolution a strong push and moved it ahead with speed. The year has also reminded us how easy it is to lose track of the critical changes in the world of technology in the midst of a great humanitarian crisis. We have seen every business move online, and every person has had to work from home at some point this year.

Have you ever hopped upon a roller coaster and regretted it instantly? It opened with the Australian wildfire and the headlining act – the Covid-pandemic has claimed 1.84 million human lives and counting. But 2020 has given technological evolution a strong push and moved it ahead with speed. The year has also reminded us how easy it is to lose track of the critical changes in the world of technology in the midst of a great humanitarian crisis. We have seen every business move online, and every person has had to work from home at some point this year.