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Artificial intelligence operations and management software provider Algorithmia Inc. is taking on the chore of machine learning model performance monitoring with a new tool announced today that it says provides greater visibility into algorithm inference metrics. Algorithmia is a Google LLC-backed company that sells software designed to make machine learning projects easier to get off the ground and manage. Its software manages every stage of the machine learning lifecycle, automating model deployment, optimizing collaboration between operations and development, and leveraging existing so-called continuous integration/continuous development processes. It also provides security and governance, and it operates a marketplace for researchers and developers to share ML models they create and get paid when others use them. Algorithmia Insights is the company's latest addition to that software set. The new tool is meant to replace a patchwork of disparate tools and manual processes that companies currently employ in order to monitor the performance of their machine learning models as they work their way into production applications.

Artificial intelligence operations and management software provider Algorithmia Inc. is taking on the chore of machine learning model performance monitoring with a new tool announced today that it says provides greater visibility into algorithm inference metrics. Algorithmia is a Google LLC-backed company that sells software designed to make machine learning projects easier to get off the ground and manage. Its software manages every stage of the machine learning lifecycle, automating model deployment, optimizing collaboration between operations and development, and leveraging existing so-called continuous integration/continuous development processes. It also provides security and governance, and it operates a marketplace for researchers and developers to share ML models they create and get paid when others use them. Algorithmia Insights is the company's latest addition to that software set.

WekaIO, Inc. announced a transformative cloud-native storage solution underpinned by the fast file system WekaFS, that unifies and simplifies the data pipeline for performance-intensive workloads and accelerated DataOps. The company has developed reference architectures (RAs) with object storage technology providers, like AWS, Cloudian, IBM, Seagate, Quantum, Scality, and others in the firm's Technology Alliance Program, to deliver cost-efficient, cloud-native storage solutions at any scale. And the firm's OEM partnership with Hitachi Vantara will deliver an integrated end-to-end stack solution based on the Hitachi Content Platform. WekaFS provides managing petabytes of data in a single, unified namespace wherever in the pipeline the data is stored, while also delivering the performance to accelerate AI/ML, genomics research, HPC, and HPDA workflows. Manage more petabytes of data cost-effectively and with fewer resources Extending the WekaFS namespace from high-performance flash to an Amazon Simple Storage Service (S3) REST-enabled cloud object storage system is a simpler and more cost-efficient strategy for managing petascale datasets without compromising performance.

Microsoft and OpenAI's close relationship has taken another leap forward with the former gaining exclusive GPT-3 access. GPT-3 has been the talk of the AI town in recent months. OpenAI's innovation can help to create convincing articles and the company once deemed it too dangerous to release in a world where misinformation and fake news is already problematic. OpenAI never made GPT-3 publicly available but instead provided access to a limited number of trusted researchers. Microsoft announced today that it now has the exclusive rights to leverage GPT-3's "technical innovations to develop and deliver advanced AI solutions for our customers, as well as create new solutions that harness the amazing power of advanced natural language generation."

A Texas company is using edge computing and IoT sensors to help cities modernize crumbling water infrastructure and inaccurate water meters. The American Society of Civil Engineers has given the country's drinking water system a D- for the last 10 years. Many components of city water systems date back to the Civil War era. Olea Edge Analytics is using 21st century technology to spot needed repairs and make sure water bills are accurate. Dave Mackie, Olea Edge Analytics' CEO, said the company combines edge computing with artificial intelligence and machine learning to help cities make more informed decisions.

In its first report on its autonomous vehicle operations in Phoenix, Arizona, Waymo said that it was involved in 18 crashes and 29 near-miss collisions during 2019 and the first nine months of 2020. These crashes included rear-enders, vehicle swipes, and even one incident when a Waymo vehicle was T-boned at an intersection by another car at nearly 40 mph. The company said that no one was seriously injured and "nearly all" of the collisions were the fault of the other driver. The report is the deepest dive yet into the real-life operations of the world's leading autonomous vehicle company, which recently began offering rides in its fully driverless vehicles to the general public. Autonomous vehicle (AV) companies can be a black box, with most firms keeping a tight lid on measurable metrics and only demonstrating their technology to the public under the most controlled settings.

Seventy-three percent of all health care organizations surveyed expect to increase their AI funding in 2020. Making processes more efficient (34%) is the top outcome health care organizations are trying to achieve with AI. Health care organizations reported their top AI risk concern is the cost of the technologies (36%). Why this matters While the pandemic has put a spotlight on the need for digital technologies such as artificial intelligence (AI), health care organizations were already experiencing some of their benefits prior to the crisis. "Deloitte's 2020 State of AI in the Enterprise Study, 3rd Edition" by the Deloitte AI Institute and Center for Technology, Media and Telecommunications uncovered how organizations are adopting, benefiting from, and managing AI technologies by industry, including health care.

Taking a page from David Letterman, a trio of panelists from Jobvite today outlined a top 10 list to HR Technology Conference and Exposition about what talent acquisition will look like in the months and years ahead. In its presentation, Tomorrow's Talent Acquisition, Today: The AI, Analytics and Automation Top 10, the Jobvite team laid out how those technologies can be used today to create better candidate journeys, more efficient recruiting processes and measurable, data-driven outcomes for a talent acquisition organization. The presenters were Zach Linder, vice president, analytics and machine learning; Morgan Llewellyn, chief data officer; and Dwaine Maltais CEO of Talentegy, which was recently acquired by Jobvite, a talent acquisition technology provider headquartered in Indianapolis. Click here to sign up for HRE's daily newsletters. In descending order, Jobvite's top 10 ways that AI, analytics and automation will reshape TA, by enabling HR and TA leaders, are: For example, Llewellyn outlined why there is a "real business case" to be made for why your organization should be more diverse and more inclusive, apart from the legal concern for many organizations.

High school students across the state of Texas have a new resource to guide them through the college application process, thanks to a public-private partnership announced today by the Texas Higher Education Coordinating Board (THECB). The new initiative will tap AdmitHub's pioneering technology to enable students to access ADVi, a conversational artificial intelligence (AI) chatbot that offers proactive, personalized guidance to help students navigate their way to and through college. ADVi can communicate with students 24/7 via text message, and if students need additional support, directs them to a cohort of live advisers who are trained and funded through a partnership with the College Advising Corps. Texas students may access ADVi by texting "COLLEGE" to 512-829-3687 or starting a freshman application in ApplyTexas. The THECB launched the text messaging tool this month to 60,000 high school seniors who opted into receiving messages in their ApplyTexas applications.