BIG DATA MANAGEMENT,DATA SCIENCE
Qlik | September 27, 2022
Qlik® today announced two significant enhancements to its partnership with Databricks that make it easier than ever for customers to combine Qlik’s solutions and Databricks to advance their cloud analytics strategies. First is the launch of the Databricks Lakehouse (Delta) Endpoint, a new capability in Qlik Data Integration, which will simplify and improve customers' ability to ingest and deliver data to the Databricks Lakehouse. Second is the integration of Qlik Cloud® with Databricks Partner Connect, enhancing the Qlik Data Analytics trial experience with Databricks. Both deepen and expand the ability of customers to combine Qlik and Databricks in their efforts to leverage the cloud for impact.
“We’re excited about the potential of Qlik’s Databricks Lakehouse (Delta) Endpoint to seamlessly and efficiently deliver the data customers need to drive more value from their investment in the Databricks Lakehouse. “And, with Qlik Analytics now integrated with Databricks Partner Connect, we are making it even easier for customers to discover, use and share data-driven insights across their organizations.”
Roger Murff, VP of Technology Partners at Databricks
Leveraging Databricks SQL, Qlik’s Databricks (Delta) Endpoint optimizes the continuous and real-time data ingestion through Qlik Data Integration into Delta Lake on Databricks. This gives organizations the ability to cost effectively drive more data from a wide range of enterprise data sources, including SAP and Mainframe, into the Databricks Lakehouse while leveraging their cloud provider of choice such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure.
Qlik has also recently integrated Qlik Cloud with Databricks Partner Connect. Databricks customers can now seamlessly experience Qlik Sense® SaaS within the Databricks Lakehouse Platform through an existing Qlik tenant or a free Qlik trial. The experience includes automatic configuration of connectivity to the customer’s Databricks environment, making it easier for Databricks customers to experience the power of Qlik Cloud.
Both the new Databricks Lakehouse (Delta) Endpoint and Partner Connect integration demonstrate Qlik’s commitment to supporting customers like J.B. Hunt in their efforts to combine Qlik and Databricks for impact.
“We’re seeing more demand for real-time data related to shippers and carriers in order to provide up-to-the-minute information on how they are performing. Qlik and Databricks help us to meet those demands,” said Joe Spinelle, Director of Engineering and Technology at J.B. Hunt.
“As they migrate more and more to the cloud, Databricks customers want strategic partners that make it as easy as possible to deliver and analyze data for impact,” said Itamar Ankorion, SVP of Technology Alliances at Qlik. “With our new Databricks Lakehouse Endpoint and Databricks Partner Connect integration, Qlik is clearly demonstrating its alignment with Databricks and our dedication to the Databricks community to deliver an amazing experience that furthers their overall data strategies.”
Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud®, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.
BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE
Domino Data Lab | September 01, 2022
Domino Data Lab, provider of the leading enterprise MLOps platform trusted by over 20% of the Fortune 100, today announced it was named to the Constellation ShortList™ for MLOps in Q3 2022. The technology vendors and service providers included in this program deliver critical transformation initiative requirements for early adopters and fast-follower organizations.
The Domino Enterprise MLOps Platform helps professional data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering them to use their preferred tools and infrastructure, and collaborate on mission-critical projects. Data science models get into production fast and are kept operating at peak performance with integrated workflows for model deployment plus re-training and re-deployment. Domino also delivers the security, governance and compliance that enterprises expect, including ISO 27001:2013 certification.
"This recognition highlights core MLOps capabilities that tap growing volumes of data, the latest ML methods, and scalable infrastructure to unleash data science. "The AI breakthroughs we've seen our customers achieve only begin to uncover the potential of model-driven businesses, and we're thrilled for what's next."
Nick Elprin, co-founder and CEO at Domino Data Lab
"Organizations must reconsider how they balance business models, work/life priorities, and new market conditions during the uncertain climate of the Great Refactoring," said R "Ray" Wang, chairman and founder at Constellation Research. "Constellation's ShortLists reflect the top vendors that matter most to our network of buy-side clients. We publish ShortLists to expedite the decision-making process for leaders making critical vendor selections, so they can find the right partners to enable their business success."
Constellation Research advises leaders on leveraging disruptive technologies to achieve business model transformation and streamline business processes. Products and services named to the Constellation ShortList meet the threshold criteria for this category as determined through client inquiries, partner conversations, customer references, vendor selection projects, market share, and internal research. The portfolio is updated at least once per year as the analyst team deems necessary based on market conditions.
About Domino Data Lab
Domino Data Lab powers model-driven businesses with its leading Enterprise MLOps platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital, and other leading investors.
BIG DATA MANAGEMENT,DATA SCIENCE,MACHINE LEARNING
Pega | September 22, 2022
Pegasystems Inc., the low-code platform provider that builds agility into the world's leading organizations, today announced Pega Customer Data Connectors that enable clients to easily connect their existing customer data platforms (CDPs) and other signal providers to Pega Customer Decision Hub™. These connectors allow organizations to stream signals from high-value platforms like Adobe, Celebrus, and ZineOne, and activate customer insights in real time with AI-powered decisioning.
Many organizations use CDPs to manage an overwhelming influx of streaming data from customers, channels, and lines of business, with the goal of identifying customer intent and better predicting behavior. But CDPs alone lack the level of decisioning and orchestration required to truly optimize an end-to-end customer experience, so insights often sit untapped as data stagnates and quickly becomes useless.
To help brands operationalize that data more efficiently, Pega has introduced connectors between the market's top data providers and Pega Customer Decision Hub – the always-on 'brain' centralizing AI-powered decisioning across inbound, outbound, owned, and paid channels. These connectors allow organizations to input their most valuable data sources – such as streams of raw event data or curated behavioral signals – into Pega's real-time AI, then optimize customer interactions using next-best-action decisioning without being locked into a specific data vendor.
These out-of-the-box Pega Customer Data Connectors enable clients to activate well-curated data from many of the world's most popular platforms, including:
Adobe Experience Platform, by integrating Adobe profile and segment signals. The connector streams real-time segment membership data directly to Pega Customer Decision Hub, where it can be used to power machine learning models, define engagement policies, and power omnichannel next-best-action decisions.
ZineOne, by connecting ZineOne's in-session propensity-to-purchase scores with Pega's next-best-action decisioning. These scores help brands better target consumers who are likely to buy, flag on-the-fence customers for re-targeting, and trigger journey-specific actions – all without incurring incremental acquisition costs.
Celebrus, by integrating Celebrus' real-time data capture, identity management, and signal curation capabilities. Celebrus helps brands capture first-party data without tagging and convert that raw data into high-value intent signals. The connector feeds those insights to Pega, which uses its propensity modeling to identify and trigger relevant messages and help significantly increase response rates.
"Every day, companies leave a goldmine of insight on the table because their vendors lack the decisioning capabilities required to operationalize intent, impacting the customer experience. "At the same time, it's unrealistic to expect brands to replace the customer data solutions they've already invested in. That's why Pega is launching Pega Customer Data Connectors - to help clients activate data at its fullest potential, with the freedom to use their CDP of choice. They can feed in whatever event streams or curated signals make sense for their business and Pega's AI will help put it to work – and use the insights to build much deeper, more valuable customer relationships."
Matt Nolan, senior director, product marketing, Pega
Pega provides a powerful low-code platform that builds agility into the world's leading organizations so they can adapt to change. Clients use our AI-powered decisioning and workflow automation to solve their most pressing business challenges – from personalizing engagement to automating service to streamlining operations. Since 1983, we've built our scalable and flexible architecture to help enterprises meet today's customer demands while continuously transforming for tomorrow.