How should AI systems behave, and who should decide?
Since the launch of ChatGPT, users have shared outputs that they consider politically biased, offensive, or otherwise objectionable. In many cases, we think that the
Since the launch of ChatGPT, users have shared outputs that they consider politically biased, offensive, or otherwise objectionable. In many cases, we think that the
Propelled by the rapid development of innovative technologies and agribusiness-tech partnerships, modern farming is on the verge of the kind of digital transformation process seen
In the beginning was data. How do we know this? Because many (if not all) creation stories from all cultures were essentially developed as an
Regulators in few geographies have defined the components and frameworks but what does it take to create a ‘trustworthy AI’. What are the challenges we
Despite the growing interest in applied machine learning, organizations continue to face enormous challenges in integrating ML into real-world applications. A considerable percentage of machine
In the coming years, environmental, social, and corporate governance (ESG) data will be as central to making business decisions as financial and marketing data is
Too many people in the IT industry rely on the antiquated philosophy that suggests data is the “new oil”. But this cliché fails to capture
As businesses grow, the need to be competitive, innovative, relevant and agile also grows, therefore the need for deeper insight, faster information, greater collaboration and
Advanced data analytics are no longer a fancy add-on but an integral part of every IoT solution and will help you find the signal in
There are plenty of artificial intelligence efforts underway — the global AI adoption rate grew steadily and now is 35%, a four-point increase from the
Data is the fuel that runs the fourth industrial revolution, and knowing how to work with data is more important than ever for employees at
At this point, it’s no surprise to anyone that big data and connected technologies— such as machine learning, predictive analytics, and artificial intelligence—are incredibly disruptive.