insideAI News Latest News – 2/24/2020

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In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive. Launches Advanced Data Discovery and Classification Platform, a leading provider of data and privacy management solutions, launched Inventa, a data privacy platform with unprecedented data lineage techniques for data discovery and classification.  Inventa gives companies complete visibility into their unknown usage of customer data by automating the discovery process and providing them with a comprehensive, accurate, and up-to-date master catalog.

Inventa leverages network analytics, machine learning, and natural language processing in combination with existing artificial intelligence technologies to continuously and accurately catalog a company’s customer data in near real-time. This includes structured and unstructured data, data at rest and in motion, known data and, most importantly, unknown data. Inventa also connects to a multitude of data sources, central filesystems, databases, NoSQL and SaaS solutions and, most recently, Amazon S3 buckets, helping solve one of today’s greatest cloud security challenges.

“The growing array of data privacy regulations around the globe combined with the shortage of experienced IT practitioners makes it imperative for organizations to bring greater levels of automation to the process of data discovery and classification.  But getting a full picture of where all customer data lives is extremely difficult given the distributed nature of modern enterprises,” said Paula Musich, research director at Enterprise Management Associates. “By using network analytics that apply machine learning and natural language processing to automatically discover PII in motion on the enterprise network,’s Inventa can do the heavy lifting for security teams and provide a more complete picture of where it resides and how it is being handled.”

Matillion Announces Availability for Matillion ETL for Snowflake on Google Cloud Platform

Matillion, a leading provider of data transformation software for cloud data warehouses (CDWs), announced the availability of Matillion ETL for Snowflake on the Google Cloud Platform, to help companies achieve faster time to insights with data transformation. Matillion ETL for Snowflake on Google Cloud provides businesses with cloud-native ETL that is purpose-built for Snowflake and Google Cloud. Companies can use Matillion ETL to load business data into Snowflake then perform powerful transformations to unlock value within the data.

“Enterprises are implementing single, hybrid and multi-cloud solutions to complement their data management strategy, gain greater flexibility with vendor selection, and reduce costs across the organization,” said Matthew Scullion, CEO of Matillion. “By releasing Matillion ETL for Snowflake inside the expanding Google Cloud platform ecosystem, we enable our customers to leverage our data transformation capabilities alongside the power of Snowflake to effectively manage their data and gain faster access to the insights that fuel business growth.”

Okera Enhances Automatic Discovery of Sensitive Data Using Machine Learning

Okera announced version 2.0 of its secure data access platform. The new version uses machine learning to enhance the automatic discovery of sensitive data such as social security numbers and credit card numbers so that organizations are able to protect their consumers’ data and comply with data privacy regulations like GDPR and CCPA. With a visual policy builder, Okera’s secure data access platform allows data owners and stewards to easily create policies that can be enforced dynamically now on Microsoft Azure Data Lake Storage Gen2 in addition to the previously available support of ADLS Gen1 and Amazon S3. Okera is further enhancing its ecosystems by adding support for AWS Glue Data Catalog.

“We continue to see data lake traffic grow among our customer base but have observed even larger growth in the number of users using data lakes for analytics and machine learning. As more users access data, it is becoming increasingly important for enterprises to know what data exists in their lake and how to create policies and protect access to their sensitive data at scale. With every release, Okera strives to improve customer experience and scalability,” said Nong Li, Okera CEO and co-founder. 

Signal AI Introduces the Next Generation of Artificial Intelligence With the Launch of AIQ

Signal AI, a leading company transforming how business leaders make sense of the world’s information, has announced the launch of AIQ, the next generation of AI technology powering their media monitoring and market intelligence platform. AIQ enhances the proprietary artificial intelligence underpinning Signal AI’s platform and heralds a step-change in the use of AI to address common public relations challenges. The PR and communications industry is poorly served by incumbent legacy technology that has failed to meaningfully integrate artificial intelligence. Signal AI’s introduction of AIQ to the market further distinguishes them as the pioneer in this space, offering real AI technology that delivers tangible results to PR professionals and beyond.

Our vision at Signal AI is to provide communication professionals and senior leaders with the same clarity and transparency about the world beyond their organisation as they have inside it,” said David Benigson, Co-Founder, and CEO, Signal AI. “AIQ allows us to level up communications professionals to help them be more strategic, and empower business leaders to work smarter, react in real-time, and make informed business decisions.”

Sisense Announces New Tailored Packages to Empower Builders of Analytics

Sisense, a leading analytics platform for builders, announced the launch of three new analytics and BI packages based on the Sisense platform. Each package offers different teams of builders within an organization the tools and capabilities to simplify complex data and deliver insights to everyone. The three packages increase the accessibility of insights for cloud data teams, BI & analytics teams and product teams. Each of these teams plays a critical role in data-driven digital transformation, and each requires its own distinct set of analytics functionalities and capabilities. No other vendor in the market addresses the specific requirements of these teams to fully empower their mandate to effect change.

“We believe that success means that everyone – inside and outside of the organization – is actively engaged in using analytics together to make data-informed decisions,” said Harry Glaser, CMO at Sisense. “Sisense is the only analytics platform that delivers a robust solution to each set of builders, meeting their specific needs and enabling them to drive their unique contribution to an organization’s digital transformation.”

Alluxio Joins Linux Foundation’s Presto Foundation to Help Scale and Accelerate Presto Query Engine

Alluxio, the developer of open source cloud data orchestration software, announced it has joined Linux Foundation’s Presto Foundation. Along with members such as Facebook, Uber, Twitter and Alibaba, together we help scale and accelerate the popular distributed SQL query engine Presto. In addition, Alluxio will be sponsoring and exhibiting at the very first PrestoCon. Presto with Alluxio brings together two open source technologies to provide a unique solution for hybrid and multi-cloud deployments for the modern analytic stack.

“With more companies using Presto Alluxio Stack (PAS) for reporting and analytics, we see tremendous demand for both remote data access and data acceleration as organizations look towards modernizing their analytic stack, particularly to embrace cloud environments,” said Steven Mih, CEO, Alluxio.  “In PAS, Alluxio brings data closer to Presto, dramatically simplifying hybrid cloud environments without creating any additional copies of data. As a member of the Presto Foundation we work closely with other members to continue to advance and innovate on open source analytics for the enterprise.”

Algorithmia Enhances ML Operations and Management Platform with GitHub Integration

Algorithmia announces a major update to its Enterprise platform. The platform, which allows data scientists and ML engineers to easily automate the DevOps, management, and deployment of AI/ML models in the language of their choice, now integrates with GitHub. By expanding its source code management capabilities, Algorithmia is making it easier for data scientists and ML engineers to organize code, track changes, collaborate with colleagues and rapidly deliver high-quality AI-based applications, with the added benefits of GitHub in combination with Algorithmia.

“As more applications are driven by machine learning, it will become increasingly important for these projects to be part of an organization’s software development lifecycle,” said Diego Oppenheimer, CEO of Algorithmia. “Model deployment and management should be as simple as checking-in any other code. With Algorithmia’s source code management integrations, it will be. Data scientists will be as agile as any software team.”

Aera Unveils Cognitive Operating System™, World’s First Cloud Platform for Cognitive Automation

Aera Technology announced the Aera Cognitive Operating System™, the cloud platform for Cognitive Automation, allowing customers and partners to easily and directly build Cognitive Skills™ and deploy Aera with greater flexibility and at scale. This platform release meets the growing demand for expanding the use of Aera across supply chains and beyond among some of the world’s largest companies including Unilever1 and RB2. In addition, it will help new adopters speed up the deployment of Aera.

Aera is the industry’s first Cognitive Operating System that enables the Self-Driving Enterprise™. Aera harmonizes both internal and external data across the enterprise; applies science (analytics, search, optimization, modeling and data science) to derive insights and recommendations; digitizes, automates and augments decision processes; and operationalizes change by digitizing institutional expertise and experience. Aera’s Cognitive Operating System is the only solution that connects data, science, process and change, building a digital brain within the enterprise. Aera continuously improves decision-making, accuracy, automation and augmentation over time.

“Aera’s Cognitive Operating System is the only solution that builds a permanent memory of every decision and outcome,” said Frederic Laluyaux, CEO of Aera Technology. “Even though companies are digitally transforming, critical supply chain decision-making and processes are still driven by humans interacting with aging organizational ERP and CRM systems, processes, and data silos. The Aera Cognitive Operating System becomes the digital brain within the enterprise. Aera learns how businesses work, makes real-time recommendations, predicts outcomes, and acts autonomously, allowing enterprises to become self-driving.”

Kinetica Simplifies Active Analytics with Launch of Kinetica Cloud

Kinetica, the provider of the Kinetica Active Analytics Platform for the modern digital economy, announced the availability of Kinetica Cloud today. Enterprises can utilize the full capabilities of the Kinetica platform in an optimal cloud environment, which include historical data analytics, streaming data analytics, location intelligence, and machine learning. Kinetica Cloud is available immediately. Kinetica Cloud has already been adopted by the San Francisco Estuary Institute.

“With Kinetica Cloud, organizations across industries gain invaluable business flexibility and agility to direct their mission-critical initiatives,” said Paul Appleby, CEO, Kinetica. “Kinetica Cloud gives customers the ultimate flexibility in a hybrid, multi-cloud environment, empowering them to determine where it is optimal to deploy Kinetica.”

Databricks Simplifies the Path to Building Lakehouses for Business Intelligence and Machine Learning

Databricks, a leader in unified data analytics, announced an accelerated path for data teams to unify data management, business intelligence (BI) and machine learning (ML) on one platform. The new Data Ingestion Network of partners and Databricks Ingest bring data teams closer to building the new data management paradigm, lakehouse, which combines the best elements of data lakes and data warehouses, enabling BI and ML on all of a business’s data. 

Historically, companies have been forced to split up their data into traditional structured data and big data, and use them separately for BI and ML use cases. This results in siloed data in data lakes and data warehouses, slow processing, and partial results that are too delayed or too incomplete to be effectively utilized. Customers can now load data into Delta Lake, the open source technology for building reliable and fast lakehouses at scale, through the Data Ingestion Network of partners – Fivetran, Qlik, Infoworks, StreamSets, Syncsort – with built-in integrations to Databricks Ingest for automated data loading. Azure Databricks customers already benefit from native integration with Azure Data Factory to ingest data from many sources. 

“Databricks powers our machine learning and business intelligence across multiple business functions, from car inventory management, to price prediction and technical operations, by using hundreds of terabytes of data,” said Greg Rokita, executive director, Technology at Edmunds. “Our data vision is fully aligned with the lakehouse approach, and our cloud data journey starts with Delta Lake which powers our machine learning use cases and executive reporting. We’re excited about Databricks Ingest – it will definitely simplify loading data into our Delta Lake.” 

BigID Introduces Next Generation Data Security Capabilities for Finding and Protecting Crown Jewel Data

BigID, a leader in data privacy and protection, introduced first-of-its-kind discovery and security features for managing sensitive crown jewels across unstructured, structured, big data and cloud. The new capabilities build on BigID’s discovery-in-depth technology for identifying any kind of personal or sensitive data anywhere inside a modern data landscape. BigID’s new data security capabilities address critical cybersecurity use cases: empowering customers to protect crown jewel data, discover dark data, automate labeling and policy enforcement, leverage access insight to highlight security vulnerabilities and overexposed data and remediate risk on their most sensitive data.

“BigID’s next-generation security capabilities help our customers identify and protect the crown jewels of their organization – sensitive and personal data,” explained Nimrod Vax, BigID’s Head of Product. “By applying advanced ML data intelligence and discovery-in-depth technology to data protection, BigID empowers organizations to reduce risk, protect their crown jewels and get unprecedented coverage and visibility across their enterprise data environment.”

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