Databricks | January 14, 2022
Databricks, the Data and AI company and pioneer of the data lakehouse architecture, today announced the Databricks Lakehouse for Retail, the company's first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks' Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. Early adopters of Databricks' Lakehouse for Retail include industry-leading customers and partners like Walgreens, Columbia, H&M Group, Reckitt, Restaurant Brands International, 84.51°(a subsidiary of Kroger Co.), Co-Op Food, Gousto, Acosta and more.
"As the retail and healthcare industries continue to undergo transformative change, Walgreens has embraced a modern, collaborative data platform that provides a competitive edge to the business and, most importantly, equips our pharmacists and technicians with timely, accurate patient insights for better healthcare outcomes," said Luigi Guadagno, Vice President, Pharmacy and HealthCare Platform Technology at Walgreens. "With hundreds of millions of prescriptions processed by Walgreens each year, Databricks' Lakehouse for Retail allows us to unify all of this data and store it in one place for a full range of analytics and ML workloads. By eliminating complex and costly legacy data silos, we've enabled cross-domain collaboration with an intelligent, unified data platform that gives us the flexibility to adapt, scale and better serve our customers and patients."
"Databricks has always innovated on behalf of our customers and the vision of lakehouse helps solve many of the challenges retail organizations have told us they're facing," said Ali Ghodsi, CEO and Co-Founder at Databricks. "This is an important milestone on our journey to help organizations operate in real-time, deliver more accurate analysis, and leverage all of their customer data to uncover valuable insights. Lakehouse for Retail will empower data-driven collaboration and sharing across businesses and partners in the retail industry."
Databricks' Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of powerful tools and partners for the retail and consumer goods industries. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization's data engineers and data scientists. Popular solution accelerators for Databricks' Lakehouse for Retail customers include:
Real-time Streaming Data Ingestion: Power real-time decisions critical to winning in omnichannel retail with point-of-sale, mobile application, inventory and fulfillment data.
Demand forecasting and time-series forecasting: Generate more accurate forecasts in less time with fine-grained demand forecasting to better predict demand for all items and stores.
ML-powered recommendation engines: Specific recommendations models for every stage of the buyer journey - including neural network, collaborative filtering, content-based recommendations and more - enable retailers to create a more personalized customer experience.
Customer Lifetime Value: Examine customer attrition, better predict behaviors of churn, and segment consumers by lifetime and value with a collection of customer analytics accelerators to help improve decisions on product development and personalized promotions.
Additionally, industry-leading Databricks partners like Deloitte and Tredence are driving lakehouse vision and value by delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases. Tailor-made for the retail industry, featured partner solutions and platforms include:
Deloitte's Trellis solution accelerator for the retail industry is one of many examples of how Deloitte and client partners are adopting the Databricks Lakehouse architecture construct and platform to deliver end-to-end data and AI/ML capabilities in a simple, holistic, and cost-effective way. Trellis provides capabilities that solve retail clients' complex challenges around forecasting, replenishment, procurement, pricing, and promotion services. Deloitte has leveraged their deep industry and client expertise to build an integrated, secured, and multi-cloud ready "as-a-service" solution accelerator on top of Databricks' Lakehouse platform that can be rapidly customized as appropriate based on client's unique needs. Trellis has proven to be a game-changer for our joint clients as it allows them to focus on the critical shifts occurring both on the demand and supply side with the ability to assess recommendations, associated impact, and insights in real-time that result in significant improvement to both topline and bottom line numbers.
Tredence will meet the explosive enterprise Data, AI & ML demand and deliver real-time transformative industry value for their business by delivering solutions for Lakehouse for Retail. The partnership first launched the On-Shelf Availability Solution (OSA) accelerator in August 2021, combining Databricks' data processing capability and Tredence's AI/ML expertise to enable Retail, CPG & Manufacturers to solve their trillion dollar out-of-stock challenge. Now with Lakehouse for Retail, Tredence and Databricks will jointly expand the portfolio of industry solutions to address other customer challenges and drive global scale together.
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.
BIG DATA MANAGEMENT
HealthWorksAI | December 30, 2021
HealthWorksAI™, an industry-leading Healthcare analytics company, announces the launch of the 2nd generation of their state-of-the-art xAI program. It's an advanced analytical approach that collects and processes data, generating in-depth market analysis which standard models do not uncover. Allowing data scientists an efficient way to measure the impact of various plan attributes/factors, xAI provides a better understanding of the correlation between plan features and beneficiary preference. It also provides insights into the influence of multiple verticals at the market level. The models are then combined with the human-computer interface (HCI) features capable of translating models into practical explanations for end users.
"We use a combination of Rule-based algorithms, Random Forest, and Artificial Neural Networks to develop our proprietary prediction, classification, and performance metrics. Advanced analytics & xAI comes to play in the modeling and evaluation phases of data mining. To achieve this, we use LIME and DeepLIFT, as an example, to achieve far superior results."
Shreya, Data Scientist of HealthWorksAI™
The xAI program, released in early 2021, has been a huge success for HealthWorksAI, leading as their most subscribed platform module in its first year. The 2nd generation, which will see releases begin in early Q2, includes multiple platform enhancements as well as new approaches to xAI methodologies.
"We're excited to announce the expansion of our xAI program for MA Payors," noted Jereme Ayers, Chief Growth Officer of HealthWorksAI. "One of the defining aspects of our company is the partnership our clients provide. We appreciate their faith and confidence and look forward to delivering even more for them in 2022!"
HealthWorksAI™ is a privately held healthcare data analytics company in the US that provides healthcare payors with rapid access to very efficient and insightful Medicare Advantage market data, accurate predictions, and a reliable single source of truth for strategic decision-making.
BIG DATA MANAGEMENT
ListenFirst | January 13, 2022
ListenFirst, the premier enterprise social analytics solution, today announced the launch of BI Connector for Tableau, providing their customers with an interface to connect directly to the ListenFirst API and access data on-demand within their Tableau dashboard. This new feature introduces codeless integration and enables ListenFirst customers to tell a multitude of stories by manipulating and layering different insights within Tableau's 24 visualization types and reporting customizations.
Available in Tableau's app directory, ListenFirst's BI Connector for Tableau creates a quicker, more seamless way to get bulk selection of data without needing frontend access. Reporting cycles are readily available in Tableau by utilizing dynamic date ranges to automatically refresh the latest insights in the desired date range and parameters.
"More than half of ListenFirst API customers use Tableau, and BI Connector For Tableau creates a quick path to insights for these data power users," explained Jimmy Li, Product Manager at ListenFirst. "Users can now effortlessly conduct cross data source analysis, on-demand reporting, advanced charting, and data visualization. Additionally, insights can be published side by side with other data points from non-ListenFirst sources, simplifying complex stories into insights that are instantly understandable."
Optimized for self service, BI Connector for Tableau supports flexible data queries for brand, content and paid level datasets.
ListenFirst is the premier social analytics solution used by the world's leading brands. With a breadth of data and award-winning expertise unmatched in the market, we offer an easy, one-stop solution to optimize social media marketing and maximize ROI. ListenFirst has been honored with multiple accolades including a 2020 SIIA CODiE Award for Best Emerging Technology, 2020 Cynopsis AdTech Award for Outstanding Data Solution, 2022 High Performer recognition from G2 Crowd, MarTech Breakthrough Award for Best Social Media Monitoring Software, and named one of Inc. 500's fastest growing companies. Founded in 2012, ListenFirst is trusted by leading global brands including AT&T, Amazon, NBCUniversal, and Peloton.
Crunchy Data | January 04, 2022
Crunchy Data - the leading provider of trusted Open Source PostgreSQL products, solutions and support, is proud to announce that PostgreSQL advocate Jean-Paul Argudo has joined its team to lead Crunchy Data's expansion into France, building on Crunchy Data's momentum in the European market.
Argudo previously served as the co-founder and CEO of Dalibo, where he helped build the company as the leading PostgreSQL provider in France. He has actively promoted Open Source technology since 2000 and has played an important role in driving PostgreSQL adoption throughout France. Argudo has been active in the PostgreSQL community for many years, serving as a member of the administration council and as one of the founders of the PostgreSQLFr nonprofit organization. He also created the first version of the French-speaking PostgreSQL website and co-founded and served as the treasurer and board member of PostgreSQL Europe between 2008 and 2013.
"Crunchy Data's trusted Open Source Postgres technology, including its cloud-native Postgres for Kubernetes offerings and fully managed Postgres offering, Crunchy Bridge, have seen considerable interest in France and Europe more generally," said Crunchy Data President Paul Laurence. "We are enthusiastic about Jean-Paul joining Crunchy Data to build on the momentum we are seeing in Europe and assist Crunchy Data's customers in their successful adoption of Postgres."
"I am very happy to join Crunchy Data, which is among the finest PostgreSQL technical teams in the world. Its Open Source offerings will meet the expectations of the most demanding PostgreSQL users," said Argudo. "Crunchy Data enables Postgres users to maintain their freedom of choice when operationalizing PostgreSQL and deploying it to any of the popular clouds. Since PostgreSQL has become strategic in many businesses, I'll be happy to explain to them how Crunchy Data can help build a fast and reliable data infrastructure for their needs."
The expansion into France follows Crunchy Data's 2021 expansion into APAC with the addition of Tony Mudie leading Crunchy Data Australia.
PostgreSQL is a powerful, Open Source, object-relational database system with more than 25 years of active Open Source development and a strong global community. Commercial enterprises and government agencies with a focus on advanced data management benefit from PostgreSQL's proven architecture and reputation for reliability, data integrity, and cost effectiveness.
About Crunchy Data
Crunchy Data allows companies to build with confidence as the leading provider of trusted Open Source PostgreSQL and enterprise technology, support and training. Crunchy Data offers Crunchy Certified PostgreSQL, the most advanced and true open source RDBMS on the market. The company also offers Crunchy Bridge, a fully managed cloud Postgres service available on AWS, Azure and Google Cloud. PostgreSQL's active development community, proven architecture, and reputation for reliability, data integrity, and ease of use makes it a prime candidate for enterprises looking for a robust relational database alternative to expensive proprietary database technologies.