Internet of Things (IoT), Artificial Intelligence (AI), Machine learning (ML) and Deep Learning, have been fashionable keywords of 2018 and the hype will continue in the year 2019 as well. In the past few years we have seen exciting technological breakthroughs, these advancements changed the way we live and will impact our lives in future as well. AI is among the hottest topics which are going beyond our imagination. Subram Natarajan, CTO, IBM India/SA mentioned the new developments in cyber security space – "In 2018, there has been an upswing in AI adoption with more startups and enterprises implementing AI applications. Going forward, Trust and Transparency will continue to drive the AI-conversation. As AI systems are increasingly being used to make decisions, it is expected that we should now also be able to explain how decisions are made and whether they are fair and unbiased. We'll begin to reap the benefits of an enhanced focus on trust and transparency, with companies applying new anti-bias techniques, in combination with guidance from in-house and industry ethics advisory groups, in order to make their products and platforms fairer. IBM has just introduced AI OpenScale which makes it possible for businesses for the first time to be able to identify bias' existence in AI applications and automatically mitigate that bias. AI will also see an increased adoption in Cybersecurity, with new tools being developed for predicting and countering cyber attacks precisely."

It's a fascinating time to be in the data and analytics space. Companies are more aware than ever of the impact data can have on their business. In this article, leading global independent analytics platform Sisense's head of AI, Inna Tokarev-Sela, shares her predictions on key AI trends that will happen in 2020, as well as what the landscape will look like in 2030. As AI becomes more well-known and effective in operational analytics, we will begin to see companies, even data teams, combining different AI components at different times in the analytics lifecycle to come up with better suggestions and insights. If you look at the AI trends today (graphs, Explainable AI, Continuous AI,) you can see that each one facilitates a specific aspect of analysis, or is used for a specific purpose.