In disclosing Q2 earnings results late last week, Amazon pounded home AWS revenue growth, plus advances in red-hot machine learning and blockchain.
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Oracle is using “adaptive intelligence” capabilities for its entire NetSuite family of integrated applications aimed at small and mid-sized businesses.
Interesting article but beware distracting, flickering ads! Machine learning that can explore the world can solve different problems – here’s an intro to the Microsoft services that make it something mainstream developers can use.
it was fascinating to see how Microsoft, Amazon and Workday used their latest earnings calls to highlight their broad efforts with machine learning.
NVIDIA launched fVDB, a deep learning framework demonstrating further use cases of digital twin technology and generative physical AI.
AI accuracy depends on the quality of the data it is fed. Toni Witt explores ways that datasets can be cleaned, or even generated, to make AI better.
SAP is shifting from traditional applications to a more integrated platform that supports AI, data, and machine learning.
The NFL has continued its partnership with AWS to develop tools using AI and machine learning to advance analytics in the sports industry, and AWS’ technology will feature prominently in the Super Bowl.
The technoloy buying-selling process is shifting due to a dynamic set of events, including influences from AI, machine learning, and software subscriptions.
The top 5 generative AI products to watch feature platforms to build GenAI and machine learning apps, produce content, govern AI, and accelerate automation initiatives.
AI Index Report Ep 21: BlackRock rolls out generative AI copilot tools; Vast raises $118 million for its AI platform for data and cloud; and Alibaba develops animation machine learning model.
Integrating generative AI, natural language prompts, large language models, and machine learning augments the power of customer experience applications.
Databricks recently acquired MosaicML for $1.3 billion, and the combined firms are poised to develop robust machine learning and generative AI capabilities for enterprises.
Workday DevCon 2023 highlighted the company’s integration with AWS, machine learning, and artificial intelligence.
Machine learning is impacting endpoint security in areas such as enhanced threat detection, false positivity reduction, and the ability to implement proactive security measures.
Workday’s Adaptive Planning platform streamlines corporate finance and leverages the best of artificial intelligence and machine learning capabilities.
The integration of machine learning and AI capabilities in cybersecurity offer opportunities for improved specificity, consistency, and scalability.
In a recent shareholder letter, Amazon CEO Andy Jassy has deemed the company as the leader of machine learning (ML), having more ML customers than any of its competitors.
Workday uses machine learning and artificial intelligence to help companies find qualified candidates during the hiring process, explains Shane Luke, VMachine Learning and AI, Workday.
Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.