“Survey respondents all cited the pandemic as a factor that drove increased adoption of AI in the last year, though the degree varied by sector from industrial manufacturing (72%) to technology (57%), retail (53%), government (44%), financial services (42%), and health care and life sciences (37%). Most organizations are also still wrestling with AI explainability….
Tag: ML
How To Succeed With Enterprise AI: Buy Vs. Build
“Today (according to the TalentSeer 2020 AI Talent Report), if you want to hire AI engineers, you must be willing to pay north of $350K in total compensation to win against Amazon, Google, Microsoft, Facebook, and many growing start-ups. Examples of other solutions that can provide AI PaaS solutions include: ● TensorFlow – open-source, ● Petuum – ease-of-use, ● NeuralDesigner –…
13 Common Mistakes That Can Derail Your AI Initiatives
“13 experts from Forbes Technology Council share common mistakes to watch out for when implementing AI. Adopting Too Many Tools At Once Not Having A Clear Objective Not Having A Single Source Of Truth Not Analyzing Enough Data View Full List…” https://www.google.com/amp/s/www.forbes.com/sites/forbestechcouncil/2021/02/24/13-common-mistakes-that-can-derail-your-ai-initiatives/amp/
Scaling AI: The 4 challenges you’ll face
“Organizations of all sizes are embracing AI as a transformative technology to power their digital transformation journeys. Still the challenges around operationalizing AI at scale can still seem insurmountable, with a large number of projects failing. They have most likely set up some form of a Center of Excellence (CoE) for AI, with key hires…
AI Adds Fuel To New Credit Scoring Data
“That mission has been the focus of TrackStar.ai, said President and Founder Clint Lotz. The company offers a machine learning (ML) solution that allows lenders to leverage millions of dispute records and alternative data (and the company’s data set) through an application programming interface (API) and help predict future borrowing potential. That in turn helps…