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“Above the Trend Line” – Your Industry Rumor Central for 1/15/2020

In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, industry partnerships, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

The acquisition accelerates LogicMonitor’s AIOps roadmap and will help ITOps teams quickly gain the intelligent insights needed to determine when and how to embrace automation in order to resolve IT infrastructure issues before they disrupt the business.

By bringing Precima into its measurement framework, Nielsen Global Connect will achieve a heightened advantage in the loyalty and personalization space, furthering its ability to help brands plan and measure the impact and success of personalized consumer offerings.

Snowflake, the cloud data platform, announced Environics Analytics, one of North America’s leading marketing and analytical services companies, uses Snowflake to support faster processing of data that underpin many of its products, including the just-launched Canadian travel and tourism industry product, VisitorView.

They help organizations of all sizes, and across every industry sector, to use data and analytics to better understand customers and markets via consumer insights (e.g., segmentation, profiles, personas) and location intelligence.

Using Snowflake to help process very large amounts of mobile location data, Environics Analytics created VisitorView and brought it to market in a significantly shorter period of time than it would have otherwise been feasible using alternative data solutions.

LevaData, the company that delivers applied AI to transform strategic sourcing and procurement, announced it is working with Zebra Technologies (NASDAQ: ZBRA), an innovator at the edge of the enterprise with solutions and partners that enable businesses to gain a performance edge.

Beiersdorf and Insilico Medicine, an artificial intelligence company developing end to end drug discovery pipelines, announced that they are entering a collaboration to jointly discover novel, safe bioactive ingredients for a specific skin indication at an unparalleled pace, that will serve as the basis for developing appropriate skincare products …

With the new partnerships the company further enhances its enterprise grade capabilities within artificial intelligence and data analytics, to continue providing expert support to its customers’ big data initiatives.

Following HPE’s acquisition of MapR Technologies (an established partner of WHISHWORKS) the company has now forged a new partnership with HPE to help deliver the foundation for a next-generation edge-to-cloud AI/ML and analytics data pipeline, with an extensive portfolio of products that are both on-premise and cloud-native.

The partnership will provide to pharmaceutical companies and academic researchers the most robust clinical trial data sharing solution, with universal guest access to receive and combine data sets from a variety of platforms or individual companies.

Benefiting from this partnership, pharmaceutical companies, academic researchers, and statisticians can search thousands of available clinical studies and submit research proposals through (CSDR), a consortium of 18 clinical study sponsors and funders.

As the only platform with global access to a full suite of SAS® Analytics programs, it will significantly improve the end-to-end research experience by providing a complete data analysis platform with the most comprehensive set of analytics tools available.

Hall, who brings two decades of success building and scaling marketing organizations for high-growth technology companies, will lead the company’s global marketing initiatives including: branding and digital marketing, corporate communications, product marketing, demand generation, field marketing, and more.

Not only will AI help speed up and improve the verification and accuracy of new customer onboarding, it will also provide a reliable means of continued identity authentication for each subsequent customer login in order to thwart sophisticated attacks.

AI can quickly scan, analyze and confirm an individual’s online identify in a matter of seconds by simply capturing a selfie of the customer, comparing it to the initial onboarding photo of a government-issued ID document (e.g., driver’s license or passport) and then running it through an algorithm to detect any suspicious activity or digital tampering (Photoshop fakes).

Because this process is historically faster than relying on human detection, fiserves implementing an AI-based digital identity verification solution in 2020 will experience a dramatic improvement in fraud prevention while also maintaining high customer conversation rates through a more frictionless, repeatable customer experience.”

“No longer just a buzzword, the pragmatic advent of deep learning to predict and understand human behavior is a tempest disruptor in how companies will perform with intelligence against their competitors.” “Machine learning is one of the fastest-evolving technologies in recent years, and the demand for development in machine learning has increased exponentially,”

“This rapid growth of machine learning solutions has created a demand for ready-to-use machine learning models that can be used easily and without expert knowledge.” “Big Data is well and truly dead, but the data lake looms large,”

This combination of solutions streams the live data into a transactional database and in-memory computing platform, ingests the relevant subset of historical data from the data lake, and maintains the combined data in memory, where the analytics solution can perform federated, real-time queries across the merged dataset.

In addition to predictive maintenance, this platform enables a variety of automated business decision making that instantly reacts to real-time changes in the environment, whether in financial services, healthcare, supply chain and more.

As a result, we can expect to see a follow-on shift toward IT infrastructures that can provide high performant, secure and cost effective interconnections to the cloud and connectivity providers that will help them meet their unique needs.”

CardioSmart365: artificial intelligence in the service of cardiologic patients

The key features of the proposed solution are (a) recording and management of patients' measurements of vital signs performed at home on regular basis (blood pressure, blood glucose, oxygen saturation, weight, and height), (b) management of patients' EMRs, (c) cardiologic patient modules for the most common heart diseases, (d) decision support systems based on fuzzy logic, (e) integrated message management module for optimal communication between end users and instant notifications, and (f) interconnection to Microsoft Health Vault platform.