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Apple shifts position on AI and aquires Darwin AI
Wednesday, April 10, 2024 by Brittany Hainzinger
Apple Inc. is strategically advancing its position in the artificial intelligence (AI) domain, signifying a pivotal shift in the company's approach to integrating AI into its core operations and product ecosystem. The recent innovations and acquisitions underscore the Cupertino-based tech giant’s focus on bringing AI to its offerings while prioritizing user pr...
AI skills training predictions from OReilly Media
Friday, March 15, 2024 by Richard Harris
In the year since OpenAI launched GPT-4, there's been no shortage of predictions about its impact on the workforce. An easy reply to all this fear is AI is not going to replace humans, but humans with AI are going to replace humans without AI. While this statement is true, this attitude also blames the victim: if you lose your job, it’s your own faul...
F5 NGINX One SaaS early access opens
Thursday, February 15, 2024 by Brittany Hainzinger
At AppWorld, we are introducing and opening "early access" for NGINX One: a global SaaS offering for deploying, securing, monitoring, scaling, and managing all NGINX instances (whether they are on-prem, in the cloud, or at the edge), and all from a single management interface. It supports all our data plane components - NGINX Plus, NGINX Open Source, NGIN...
Top data predictions for 2024 from Alluxio
Thursday, February 8, 2024 by Richard Harris
Alluxio’s Founder and CEO Haoyuan (H.Y.) Li forecasts major developments in Artificial Intelligence (AI), cloud, data and analytics, devops and storage in 2024. Data strategies will continue to require solutions that enable enterprises to manage complex data across diverse sources, optimize performance, scale in hybrid/multi-cloud environments, and operate efficie...
IBM Releases Apache Spark Powered Data Science Collaborative Platform
Thursday, June 9, 2016 by Richard Harris
IBM has announced a new cloud-based development environment for near real-time, high performance analytics. The new IBM Data Science Experience is an interactive, collaborative, cloud-based environment where data scientists can use multiple tools to activate insights. It is in limited preview and IBM has created a waiting list for individuals interested in accessing the...
