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Databricks Conquers AI Dilemma with Unified Analytics

Databricks, a leader in unified analytics and founded by the original creators of Apache Spark™, addresses this AI dilemma with the Unified Analytics Platform. The company launched new capabilities to lower the barrier for enterprises to innovate with AI. These new capabilities unify data and AI teams and technologies: MLflow for developing an end-to-end machine learning workflow, Databricks Runtime for ML to simplify distributed machine learning; and Databricks Delta for data reliability and performance at scale.

AI Study: The Coasts Are Excited, The Midwest & The South Are Not

Conversica, a leader in conversational AI for business, released the results of its Regional AI Adoption study that polled residents across the United States to see how they are currently using AI and how excited they are about the prospects of artificial intelligence helping to solve local problems. Results of the study show that Americans feel optimistic about AI and hope that it will someday help to address homelessness, relieve traffic and cure diseases—although priorities vary by location and generation.

Interview: Stephen Goldberg, CEO of HarperDB

I recently caught up with Stephen Goldberg, CEO of HarperDB, to discuss how his company was founded to deliver a simple solution that could be used by any developer of any skill level without sacrificing scale or performance. He also comments on how the HarperDB database solution is being used for IoT project development, app development and enterprise data warehouses. Founded in 2017 and headquartered in Denver, HarperDB’s founding team has spent many years working in enterprise architecture, software integration, software development, and software sales.

Setting the Stage for the IoT Revolution: How Businesses Can Improve Their Data Strategies Before It’s Too Late

In this contributed article, Paul Silevitch, VP of Engineering at SiteSpect, discusses how to effectively prepare for the imminent IoT revolution, where executive teams across organizations — from IT to marketing — must hone their current data analysis processes. Here’s how businesses can get smarter about their data strategies and make the best use of the information at their fingertips.

2018 State of Embedded Analytics Report

The 2018 State of Embedded Analytics Report by Logi Analytics explores the top benefits of embedded analytics, the latest trends, advantages of different development methods, and what the future of analytics looks like. Logi surveyed more than 500 people who shared their perspectives on how they are embedding analytic capabilities to meet ever-changing market needs.

Advancements in Health-Related Data Tracking

In this contributed article, freelance human Avery Phillips takes a look at the advancements in health-related data tracking and what they look like. The rise in popularity of wearable devices that are capable of tracking personal health and fitness-related data has been beneficial on both a personal and professional level.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – May 2018

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.

Veteran AI Experts Launch Weights & Biases to Offer State of the Art Developer Tools for Machine Learning

Weights & Biases (W&B) launched with the first enterprise AI platform to help teams visualize and debug machine learning models. W&B received $5 million in a Series A investment round co-led by Trinity Ventures and Bloomberg Beta.

Starmind Launches Desktop App Increasing Accessibility to Undocumented Corporate Knowledge

Starmind, the company whose technology uniquely applies neuroscientific principles to AI, resulting in the discovery of previously undocumented corporate knowledge, announced the launch of its desktop application. The Starmind technology uses cutting edge artificial intelligence and neuroscientific research to emphasize the human value in unlocking previously undocumented corporate knowledge. The release of its desktop app makes adoption and daily use of the platform even easier for employees.

Condusiv Technologies Reports: Need for Speed Drives Edge Computing Growth

The actual “edge” in edge computing depends on the application. In telecommunications, it could be a cell phone, or perhaps a cell tower. In manufacturing, it could be a machine on a shop floor; in enterprise IT, the edge could be a laptop. The important thing about edge computing is that it enables data produced by Internet of Things devices to be processed close to where it’s created, rather than sending it to centralized, cloud-based data centers.