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Category: Big Data

AI/ML / Analytics / Big Data / Cybersecurity / Ecosystem / Open Source / Strategy / Trends

Trends – AI Observability Securing and Ethically Managing AI Data

The Ethical AI Governance Group recently published their annual report on the challenges facing organizations in the ethical adoption and usage of AI and highlight the “black box” nature of …

AI/ML / Big Data / Open Source / Technology

Technology – An Overview Accelerating Machine Learning Workloads with Open XLA

Google’s Open XLA project is an open-source software library for accelerating linear algebra computations on CPUs and GPUs. It started in 2017 as a collaboration between Google and TensorFlow teams, …

AI/ML / Big Data / Cybersecurity / Financial Services / Healthcare / Security / Trends

Trends – Securing Generative AI: Ensuring Data, Model, and Usage Security

Generative AI has been rapidly gaining popularity and adoption in various industries in recent years, with the global market size expected to reach USD 9.9 billion by 2027, according to …

AI/ML / Apps / Big Data / Market Analysis

Market – Data Science Primer: AI vs ML and Deep Learning

Three of the most important concepts in data science are artificial intelligence (AI), machine learning (ML), and deep learning (DL). While these terms are frequently used interchangeably, they are not …

Analytics / Big Data / Healthcare

Impacts – Data Analytics and Integration in Healthcare: Meeting New Compliance Requirements in 2022

Healthcare provider organizations are facing a major shift in the way they deliver care and are reimbursed for it. In 2022, the move from pay for service to value-based care …

Big Data / Cloud Infrastructure / Cloud Native / Market Analysis / Strategy

Impacts – Businesses Must Adopt a Data-First Strategy

The future of cloud is upon us. CIOs must establish a data-first strategy to develop an effective approach to the cloud. Too often, organizations implement the cloud before turning to data. Executives should instead adopt a data-first strategy as the basis for the application of workloads across an integrated infrastructure.

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Recent Posts

  • Trends – AI Observability Securing and Ethically Managing AI Data
  • GTM – Conversational Marketing, a Strategic Approach and Top 5 Mistakes to Avoid.
  • Technology – An Overview Accelerating Machine Learning Workloads with Open XLA
  • Trends – Securing Generative AI: Ensuring Data, Model, and Usage Security
  • Trends – Navigating the Storm: Mitigating the Threats Posed by Manual Cloud Entitlement Management

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