I recently wrote about the development, testing and deployment of data pipelines as a fundamental accelerator of data-driven strategies as well as the importance of data orchestration to accelerate analytics and artificial intelligence. As I explained in the recent Data Observability Buyers Guide, data observability software is also a critical aspect of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an...
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Topics:
Analytics,
data operations,
Analytics & Data,
Generative AI,
AI and Machine Learning,
Machine Learning Operations
I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had...
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Topics:
AI,
natural language processing,
Generative AI,
Computer Vision,
Model Building and Large Language Models,
Deep Learning,
Machine Learning Operations
Enterprises are increasingly recognizing the need to streamline operations for efficiency, agility and innovation. This has led to various “operations” or “Ops” initiatives, each focusing on a specific aspect of enterprise IT. From software development and data analytics to IT and cloud management, these Ops groups are transforming the way enterprises operate and compete.
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Topics:
Analytics,
Cloud Computing,
Digital Technology,
data operations,
digital finance,
Digital Security,
Observability,
Analytic Operations,
DevOps and Platforms,
ITOps,
CloudOps,
Machine Learning Operations,
MLOps,
SecOps,
ProjectOps,
AIOps,
NetOps,
DevSecOps,
SecFinOps