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.
DataRobot | December 17, 2021
DataRobot today announced DataRobot Core, a comprehensive offering that broadens its AI Cloud platform for code-first data science experts. DataRobot also announced its latest platform release, extending the capabilities of AI Cloud for all users with broader and more sophisticated analytical capabilities for data scientists, enhanced decision intelligence, and new features to manage and scale operations in production.
The unprecedented demand for AI, combined with the complexity in delivering AI to production, has created significant delays in data science initiatives for all businesses at a time when AI has never been more vital to business outcomes: 87% of organizations continue to struggle with long deployment timelines, while data scientists spend at least 50% of their time on non-strategic model deployment. To scale quickly and remain agile, data science teams need the tools and product capabilities to deliver high-impact results, faster.
DataRobot Core brings together a complete portfolio of purpose-built capabilities that give data scientists ultimate flexibility in how they deliver AI to the business, enabling faster experimentation and rapid time to value, while making teams more efficient and effective at driving clear business impact from AI:
Platform: Unified environment with first-class, embedded and multilanguage notebook experience; Composable ML to seamlessly pivot between code-first and automated model generation; code-centric pipelines on top of Apache Spark; open API to enable programmatic access to the full AI Cloud platform; and built for the modern enterprise with support for the reliability, governance, compliance and scale needs across industries.
Resources: Extensive portfolio of accelerators, third-party integrations and libraries to expedite AI delivery and drive efficiency, along with evolving education resources to advance skills and enable data scientists to stay at the cutting edge.
Community: Shared knowledge and access to the unique expertise of the DataRobot team, industry experts and thousands of community members from DataRobot customers representing some of the largest and most successful AI implementations in the world.
DataRobot’s team of over 300 data scientists are pioneering efforts in AI, with applied expertise across more than a million active projects for customers across industries on a global scale. Leveraging DataRobot AI Cloud, full service direct mortgage lender Embrace Home Loans eliminated 43 million lines of code, freeing up their data scientists to build even more complex and strategic solutions.
“DataRobot has been transformational for our business,” said Keith Portman, Chief Analytics Officer at Embrace Home Loans. “DataRobot’s AI Cloud platform enabled us to double our return on marketing investment spend and maintain a notebook-first approach. Our data scientists can now build complex models with flexibility and seamless integration, gaining back hours of time.”
Alongside Core, the launch of DataRobot 7.3 introduces over 80 new features and capabilities designed for all users to enable AI-driven decisions across all lines of business, within a single platform. DataRobot 7.3 offers:
Expanded Support for Diverse Use Cases. Giving data science teams native, out-of-the-box flexibility across data types, users can now run anomaly detection with images and leverage the next generation of Text AI, as well as comprehensive tools, including Multimodal Clustering, Time-Series Segmented Modeling and Multilabel Classification.
Better, Faster Decisions with Decision Intelligence. Teams can rapidly deploy models that combine complex rules and business logic with post-process prediction scores with simple APIs, and build fully customized AI applications in a matter of minutes with no coding required.
Enhanced Performance Monitoring, Compliance and Regulatory Capabilities. Automated compliance documentation now extends to custom models built outside of DataRobot, streamlining regulation readiness for all users. With all models in production, users can easily evaluate and compare challenger models against live models, and clearly see if a model should be replaced in order to maintain peak performance for the business.
“For organizations today, translating data and AI into tangible outcomes is critical in order to remain competitive and thrive,” said Nenshad Bardoliwalla, Chief Product Officer at DataRobot. “DataRobot Core and 7.3 are designed to meet increasing demand and scale, and empower the largest number of AI creators, from code-centric data science teams to business analysts and decision makers, to experiment fast and collaborate effectively on the same platform. Together, these solutions provide the much-needed flexibility, speed and control that brings trustworthy AI solutions to life for every organization.”
In support of DataRobot Core, DataRobot is also announcing an expanded partnership with AtScale to deliver more comprehensive data access and feature modeling to customers. AtScale brings its semantic layer technology to DataRobot Core, simplifying connections from DataRobot to a broad range of cloud data platforms and providing a powerful modeling canvas for feature engineering. Together, DataRobot and AtScale deliver complete services for organizations to operationalize AI/ML workloads with support for a wide range of data platforms, protocols and visualization platforms.
DataRobot AI Cloud is the next generation of AI. DataRobot's AI Cloud vision is to bring together all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.
BIG DATA MANAGEMENT
GoodData | January 06, 2022
GoodData, the leader in data and analytics infrastructure, today announced its new app on the Freshworks Marketplace to provide a powerful and scalable solution designed to accelerate the use and application of analytics for Freshworks customers.
The Freshworks Marketplace hosts apps built by the Freshworks developer community. These apps make use of Freshworks products and partner solutions to create delightful experiences for businesses. The marketplace enables partners to reach Freshworks customers and serve them jointly. Freshworks Inc., (NASDAQ: FRSH) is a leading software company empowering businesses to delight its customers and employees.
With the demand for cloud-native solutions and easy-to-use analytics on the rise, large companies with enterprise-grade data need vendors to provide analytics within their existing architecture. With the integration of GoodData’s analytics tool into its marketplace, Freshworks now provides enterprises with more options to unlock rich insights from within their data. Additionally, Freshworks can tap into GoodData's extensive experience powering analytics innovation in the Customer Experience Management (CX) space. The integration between GoodData and Freshworks will help provide valuable analytics for customer support teams to better understand the strong and weak points of their customer facing team and help to better customer experiences.
“For data leaders to meet the challenges of today’s hyper-competitive market, they have to reinvent the way they think about and utilize data at every layer of their organization. Freshworks recognized the need for its marketplace to offer an analytics platform that tells a customer-centric, accessible story with data, and our solutions make it possible for Freshworks to implement immediately and scale. This app will make it easy for enterprises to understand and benefit from modern analytics, and it’s just the beginning of a fruitful partnership between our two cloud-first companies. We are excited to collaborate with Freshworks.”
GoodData founding CEO Roman Stanek
Freshworks helps some of the largest, industry-leading companies in the world — ranging from healthcare to financial services, and more — realize value from their software. Already providing customers with low-code development and custom apps within their marketplace to extend their product capabilities at scale, Freshworks now partners with GoodData to provide customers with more options to unlock their inherent value of data as a strategic asset.
“Analytics is a key part of improving user experience for any technology. As we continue to grow, we need an ISV partner who not only understands our business model but also one that could purpose-build apps for the modern business software users,” said Hérve Danzelaud, VP of Global Partnerships at Freshworks. “GoodData’s state-of-the-art analytics stack is the perfect tool to quickly bring nearly real-time analytics into our current offerings and helps enterprises to access vital insights in this new age of data.”
The marketplace app is the first step in an ongoing partnership between GoodData and Freshworks, and the companies will continue to work together to provide actionable and easy to use analytics to Freshworks customers. The partnership will expand Freshworks’ offering with advanced analytics and business insights.
GoodData is on a mission to break data silos. Real-time, open, secure, and scalable, GoodData’s leading composable data and analytics platform provides a single source of truth across organizations and to their customers. To this day, GoodData has helped more than 140,000 of the world’s top businesses deliver on their analytics goals and scale their use cases — from self-service and embeddable analytics, to machine learning and IoT.
SlashData | September 19, 2020
For immediate release
London, United Kingdom
Media contact at SlashData Ltd.
Viktorija Ignataviciute firstname.lastname@example.org
Best practises engaging Open Source and DevOps developers Developer trends; Tracking Covid effect on the industry
While industries, businesses and individuals are being challenged significantly, the Future Developer Summit is determined to turn this into an enhanced learning opportunity, open to all Developer Relations, Marketing and Advocacy community members.
Traditionally hosted in the Bay Area, CA, the 5th Future Developer Summit invites its guests to join the event remotely on 29-30 Sep & 6-7 Oct, ensuring the safety of all stakeholders. For the first time this year, the Summit offers 2 tracks: Open Source and DevOps.
Thought leaders at the Future Developer Summit
Industry leaders are coming together to discuss the future of developer marketing and developer relations. Director and VP level representatives from CNCF, Google, Microsoft, Comcast, HashiCorp, Intel, Salesforce, Facebook, MongoDB, Futurewei, Eclipse Foundation, Indeed.com, Expedia, Nutanix, and more.
Jono Bacon - author of “People Powered” and Mary Thengvall - Director of Developer Relations at Camunda are joining as event’s co-hosts. Follow new announcementsat futuredeveloper.io/
• Mike Milinkovich, Executive Director at Eclipse Foundation
• Nithya Ruff, Executive Director, OSPO at Comcast
• Stormy Peters, Director of Open Source Programs Office at Microsoft
• Adam FitzGerald, VP, Developer Relations at HashiCorp
Lightning talks - hear about successes and failures from:
• Melissa Evers-Hood - VP, Intel Architecture, Graphics and Software at Intel
• Priyanka Sharma - General Manager at CNCF
• Chris Kelly - Director, Open Source and Engineering Engagement at Salesforce
• Grace Francisco - VP, Global Developer Relations & Education at MongoDB
• Anni Lai - Head of Open Source Operations and Marketing, Cloud at Futurewei
• Duane O'Brien - Head of Open Source at Indeed.com
• Tobie Langel - Principal and founder, UnlockOpen
• Satya Singh - Principal Product Manager - Platform & Marketplaces at Expedia
• Mark Lavi - DevOps and Automation Solutions Architect at Nutanix
• Tamao Nakahara - Head of Developer Experience at Weaveworks
• Amr Awadallah - VP, Developer Relations at Google
• On 29-30 Sep & 6-7 Oct. Full agenda at futuredeveloper.io/
• The highest rated industry event with a Net Promoter Score - 94!
- Jono Bacon - author of “People Powered”
- Mary Thengvall - Director of Developer Relations at Camunda
• Remote friendly event for the global tech leaders community
• Summit offers 2 tracks: Open Source and DevOps
• 2 networks to join: Community and Exclusive
• Registration is free for all attendees. We do invite you to voluntarily contribute to Black Girls Code
• This year’s Summit coincides with SlashData’s 10-year anniversary of developer research. Join us to celebrate together!
▶ Reporters can redeem the Media Pass here.
▶ General Admission is available here.
*Senior audience only
Exclusive edition - announcement
The Future Developer Summit is opening its doors in 2 weeks! Don’t miss a chance to join an outstanding crew of industry thought leaders bringing the best learning experience for Developer Relations, Marketing and Advocacy community members.
Exclusive edition on 6-7 October
Your Unique Executive Networking Opportunity in a remote-first world
Two industry panels
How do industry leaders approach contribution to open source?
• Sam Ramji - Chief Strategy Officer at DataStax
• Chris DiBona - Director of Open Source at Google
• Nithya Ruff - Executive Director, OSPO at Comcast
• Stormy Peters - Director of Open Source Programs Office at Microsoft
The diversity of DevOps approaches and how customers are adopting it?
• Kelsey Hightower - Staff Developer Advocate, Google Cloud Platform at Google
• Greg Wilson - Director of Cloud Developer Relations at Google
• Nicole Forsgren - VP, Research and Strategy at GitHub
• TBA very soon!
Two fireside chats with:
• Jono Bacon - author of “People Powered”
• Kathy Kam - Head of Open Source & Developer Advocacy at Facebook
Two Master Classes
Using practical examples, and a lot of data as usual, we will be demonstrating how you can increase your DevRel ROI by taking data-backed decisions and what are the key reasons for using data in your decision making process.
Availability is limited → Secure Your Executive Seat