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Search Results for: Intel

HPE Accelerates Artificial Intelligence Innovation with Enterprise-grade Solution for Managing Entire Machine Learning Lifecycle

Hewlett Packard Enterprise (HPE) announced a container-based software solution, HPE ML Ops, to support the entire machine learning model lifecycle for on-premises, public cloud and hybrid cloud environments. The new solution introduces a DevOps-like process to standardize machine learning workflows and accelerate AI deployments from months to days.

Interview: Terry Deem and David Liu at Intel

I recently caught up with Terry Deem, Product Marketing Manager for Data Science, Machine Learning and Intel® Distribution for Python, and David Liu, Software Technical Consultant Engineer for the Intel® Distribution for Python*, both from Intel, to discuss the Intel® Distribution for Python (IDP): targeted classes of developers, use with commonly used Python packages for data science, benchmark comparisons, the solution’s use in scientific computing, and a look to the future with respect to IPD.

Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations

On many evenings during spring and fall migration, tens of millions of birds take flight at sunset and pass over our heads, unseen in the night sky. Though these flights have been recorded for decades by the National Weather Services’ network of constantly scanning weather radars, until recently these data have been mostly out of reach for bird researchers.

Artificial Intelligence and Natural Language in M&A: When Context Matters

In this contributed article, Ned Gannon, President of DFIN’s eBrevia subsidiary, explores how AI is proving invaluable in the legal world of mergers and acquisitions, especially in contract analysis. For large deals, the amount of time required to review decades worth of legal documentation to find an anomaly or problematic contractual provision is daunting, and something AI solutions are much better suited for.

Develop Multiplatform Computer Vision Solutions with Intel® Distribution of OpenVINO™ Toolkit

Realize your computer vision deployment needs on Intel® platforms—from smart cameras and video surveillance to robotics, transportation, and much more. The Intel® Distribution of OpenVINO™ Toolkit (includes the Intel® Deep Learning Deployment Toolkit) allows for the development of deep learning inference solutions for multiple platforms.

Survey Reveals Significant Disparity in Consumer Sentiment Towards Artificial Intelligence

Blumberg Capital, a leading early-stage venture capital firm, released a new survey, “Artificial Intelligence in 2019: Getting past the adoption tipping point”, detailing consumer comfort level, knowledge of and sentiment towards artificial intelligence (AI). The findings demonstrate that we’re at a critical tipping point when it comes to consumer understanding and attitudes towards AI, as half of consumers feel optimistic while the other half feel fearful.

Intelligent Operations: How to Navigate the Journey from Manual to Automated

In this special guest feature, Tom Pohlmann, EVP of Customer Success at AHEAD, discusses how the road to fully functional Intelligent Operations is bumpy, no matter what stage of digital transformation companies are currently in. Based on his experience, he offers five stages of maturity that organizations typically fall into.

Fast-track Application Performance and Development with Intel® Performance Libraries

Intel continues its strident efforts to refine libraries optimized to yield the utmost performance from Intel® processors. The Intel® Performance Libraries provide a large collection of prebuilt and tested, performance-optimized functions to developers. By utilizing these libraries, developers can reduce the costs and time associated with software development and maintenance, and focus efforts on their own application code.

What is Governed, Self-Service Business Intelligence and Why is it Important?

In this contributed article, Ben Bloch, CEO of Bloch Strategy, believes the most effective tools contributing to governed, self-service BI are those that make it easy to migrate data securely and effectively. With this model, organizations can merge self-service BI with governed data sources.

Supercharge Data Science Applications with the Intel® Distribution for Python

Intel® Distribution for Python is a distribution of commonly used packages for computation and data intensive domains, such as scientific and engineering computing, big data, and data science. With Intel® Distribution for Python you can supercharge Python applications and speed up core computational packages with this performance-oriented distribution. Professionals who can gain advantage with this product include: machine learning developers, data scientists, numerical and scientific computing developers, and HPC developers.