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Book Review: AI Blueprints by Dr. Joshua Eckroth

Having just finished teaching a couple of introductory data science classes this past academic quarter, I came to the realization that it’s hard for newbie data scientists to get started on a project of reasonable complexity. Many students got frustrated in establishing a framework (or “blueprint”) with which to start building their machine learning applications for their class project. A new title from Packt Publishing, “AI Blueprints,” by Dr. Joshua Eckroth, helps solve this problem by laying out six real-life business scenarios for how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow.

Leveraging Data, Blockchain and AI to Help Agriculture Meet Growing Global Demand

Given the scale of the world’s food supply, there aren’t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use blockchain, AI and API management to enable “smart agriculture.” The paper, “Agricultural Digital Transformation,” has been published in the OR/MS Today journal from the Institute for Operations Research and the Management Sciences (INFORMS).

Proscia Launches AI-Powered Digital Pathology Solution for Dermatopathology

Proscia, a leading provider of digital pathology software, released DermAI™, the first in its series of AI applications that advance the practice of pathology. A module on Proscia’s Concentriq™ platform, DermAI leverages deep learning to pre-screen and classify skin biopsies to help reduce costly errors and improve laboratory quality and efficiency as the number of […]

The Linux Foundation’s Artificial Intelligence Community Announces New Acumos Release Focused on Creation of AI/ML Models

The LF AI Foundation, the organization building an open AI community to drive open source innovation in artificial intelligence (AI), machine learning (ML) and deep learning (DL), announced the new release of Acumos code named Boreas. This latest release of the open source framework and marketplace will enable the creation, training and license verification of AI, ML and DL models and apps, among other benefits to the community of developers and data scientists.

Machine Learning Beyond Predefined Recipes

The next evolution in human intelligence is automating the creation of machine learning models to not follow predefined formulas, but rather adapt and evolve according to the problem’s data. While machine learning has enabled massive advancements across industries, it requires significant development and maintenance efforts from data science teams. Enter Darwin, a machine learning tool that automates the building and deployment of models at scale.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – May 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Survey Reveals Widespread Lack of IT Planning for AIOps

A recent survey of IT, business, security and operations executives shows that 76 percent of IT teams have not yet implemented artificial intelligence technologies to improve data center operations, despite the benefits of AIOps for business efficiency. In addition, just over half of survey respondents still have no budgets planned for AIOps projects in the next one to three years. Further, the survey reveals that most IT leaders are still struggling to implement effective strategies for AIOps due to a lack of clarity about their own technology expectations and business objectives.

AI-Driven Data Catalogs: How to Find the Right one for Your Business

The commoditization of data has opened a world of opportunities up for countless enterprises. But as big data explodes, metadata initiatives are failing, and data discovery and retrieval is getting more and more difficult. A new white paper from IO-Tahoe explores data catalogs as a potential answer to this challenge.

TOP 10 insideBIGDATA Articles for May 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

GE Introduces New Analytics to Advance Electric Grid Operations

GE (NYSE: GE) announced the availability of three new grid analytics that combine domain expertise with artificial intelligence (AI) and machine learning (ML) to tackle pressing challenges in electric grid operations. The new portfolio uses data from across transmission and distribution networks to help achieve goals for operational efficiency.