Most of us cannot just look into the crystal ball and predict the future. What all of us can do, however, is do our best and influence it to our advantage. Find out what 22 business leaders' and AI experts' view on where industries stand today with AI and what trajectory it is likely to take in 2022 and beyond. Reality check, challenges, solutions, trends and more - all included in the event recording and handouts.
The right data can shine a light on issues. And, using AI with the right data can help us make the best possible decisions, faster, as those issues come to light. This is how the most successful companies adapted to the uncertainties that accelerated in 2020.
The accelerated growth in ecommerce and online marketplaces has led to a surge in fraudulent behavior online perpetrated by bots and bad actors alike. A strategic and effective approach to online fraud detection will be needed in order to tackle increasingly sophisticated threats to online retailers.
Millions of people awaited destruction of cataclysmic proportions. But Jan. 1, 2000, came and went and, 20 years later, the memories of that time are starting to fade away. We are today experiencing a similar frenzy over AI and robotics.
With 2022 around the corner, one can only imagine what the future holds and what spheres will be experiencing the AI spotlight. Let’s take a deep dive and explore how artificial intelligence will take center stage in 2022.
Am I talking to a software robot or a human? It’s a question that many of us will have posed at some point when we are online interacting with a web interface chatbot. But where is the real pitfall? Well, there, where many of us would not even think.
New York City has a new law on the books—one of the boldest measures of its kind in the country—that aims to curb hiring bias that can occur when businesses use artificial intelligence tools to screen out job candidates.
The use of big data is increasing and companies are utilizing the benefits of big data. There are several dimensions of big data and businesses should understand what is big data. But what is big data really and what are its four V's?
The AI landscape has grown drastically in recent years. As the industry accelerates, how do we ensure a future driven by ethical intelligence?