Top AI investors reveal State of AI in 2022
If you think artificial intelligence (AI) is moving at a breakneck speed and it’s almost impossible to keep up, you’re not alone. Even if being on top of all things AI is part of your job, it’s getting increasingly hard to do that. Nathan Benaich and Ian Hogarth know this all too well, yet somehow they manage.
Read More →Using graph-powered analytics to keep track of ESG in the real world
What does sustainability actually mean for organizations? Can it be measured, and if yes, how so? Often, these are obvious questions with less-than-obvious answers, even for sustainability and environmental, social and governance (ESG) professionals like James Phare.
Read More →Salesforce’s AI Economist research wants to explore the equilibrium between equality and productivity
Economic theory is known to be constrained by a number of inefficiencies in its modeling. Salesforce researchers claim AI can help address that, leading to more robust economic policies. 2016 was a pivotal year for Salesforce. That was when the company acquired MetaMind, “an enterprise AI platform that worked in medical imaging and eCommerce images […]
Read More →How efficient code increases sustainability in the enterprise
Everything counts in large amounts. You don’t have to be Google, or build large AI models, to benefit from writing efficient code. But how do you measure that?
Read More →Fair forecast? How 180 meteorologists are delivering ‘good enough’ weather data
Weather forecasts, too, are all about data and models these days. But balancing accuracy and viability is a fine act, especially on a global scale and when the stakes are high. What’s a good enough weather prediction? That’s a question most people probably don’t give much thought to, as the answer seems obvious — an […]
Read More →4 AI research trends everyone is (or will be) talking about
Using AI in the real world remains challenging in many ways. Organizations are struggling to attract and retain talent, build and deploy AI models, define and apply responsible AI practices, and understand and prepare for regulatory framework compliance.
Read More →You.com is taking on Google with AI, apps, privacy, and personalization
Award-winning AI research? Check. Startup and enterprise experience? Check. Venture capital and Mark Benioff backing? Check. Is that enough for Richard Socher’s you.com to take on Google? Are you happy with Google search? Regardless of how you answer this question, chances are you still use it. With the notable exceptions of China and Russia, where […]
Read More →The data science and AI market may be out for a recalibration
Data science roles are still "sexy" but not immune to the job market turmoil.
Read More →How to apply decision intelligence to automate decision-making
Decision intelligence is one of those terms that sound vaguely familiar, even if you’ve never come across it before. Like many category-defining terms, it can mean different things to different people. This is a feature category-defining terms either have by design, or acquire through extensive use.
Read More →What development of LLM best practices means for the enterprise
Large language models (LLMs) and multimodal AI are the cutting edge of AI innovation, with applications trickling down to the enterprise from the ‘Googles’ and ‘OpenAIs’ of the world. We are currently seeing a barrage of LLM and multimodal AI model announcements, as well as commercial applications created around them.
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