BIG DATA MANAGEMENT
Starburst | December 22, 2021
After a year of record financing and year-over-year growth across sales channels, hiring and the global customer base, Starburst, the analytics anywhere company, is announcing a partnership with Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, to deliver Starburst Enterprise to the Greater China market. Through this partnership, Alibaba Cloud is providing engineering to integrate Starburst Enterprise on Alibaba Cloud, as well as providing the sales, services, and support resources needed to deliver a seamless customer experience. Starburst is currently available on major public and private cloud platforms, including AWS, Azure, GCP, Red Hat, and HPE, but this partnership is a key step in providing the analytics engine for data mesh to Alibaba Cloud customers in Greater China.
According to IDC, over the past five years, the compound annual growth rate of China's public cloud market has reached 61.1%, which is significantly higher than the 23.8% growth in the United States. With 87.4% of Chinese firms using open-source technologies, making Chinese users the second most prolific group on GitHub after the United States, this expansion presents a huge market opportunity for Starburst to enable Alibaba Cloud customers to provide better data access through a data mesh architecture, deliver data as a product and empower business users to make more informed decisions.
"China, like the rest of the world, has been impacted by the digital pressure spurred on by the pandemic," said Dr Jia Yangqing, VP of Alibaba Group, Senior Fellow of the Computing Platform, Alibaba Cloud Intelligence. "As long-time users and supporters of the Trino project, we're very excited to leverage the open-source community and now this enterprise distribution of Starburst on Alibaba Cloud so that large enterprises in China can take advantage of its power to accelerate their digital transformation initiatives in the face of the challenges created by the pandemic."
With this partnership, Starburst is now uniquely available on nearly every major platform and can be seamlessly procured through their marketplaces. The Alibaba Cloud partnership comes on the heels of Starburst's recent release of Stargate, a new product offering that is intended to serve as a single point of access to data across borders, with fast query performance, while meeting data privacy and sovereignty requirements. Through this partnership, companies based in China and China-based subsidiaries of multinational companies can now easily leverage these powerful, global analytics capabilities to build architectures that reflect today's global nature of business.
"Global companies find that their enterprise data is increasingly spread across multiple clouds and disparate geographic regions. Starburst's vision is to unlock the analyst within us all and allow access to all of a company's data, no matter where it resides. So we naturally want to be everywhere our customers want to be. Alibaba Cloud is the perfect partner to help us extend our analytics engine for this global data mesh to the greater China market and facilitate a deeper level of hybrid analytics that hasn't previously been possible in this region."
Justin Borgman, CEO of Starburst
After a year of explosive growth, Starburst is poised to continue its mission of bringing analytics anywhere. This partnership is a key step in achieving that mission. To learn more, please visit starburst.io.
Starburst is the analytics engine for the data mesh. We unlock the value of distributed data by making it fast and easy to access, no matter where it lives. Starburst queries data across any database, making it instantly actionable for data-driven organizations. With Starburst, teams can lower the total cost of their infrastructure and analytics investments, prevent vendor lock-in, and use the existing tools that work for their business. Trusted by companies like Comcast, FINRA, and Condé Nast, Starburst helps companies make better decisions faster on all data.
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
Pathr.ai | January 15, 2022
Pathr.ai, the industry's first and only artificial intelligence (AI) powered spatial intelligence platform, today announced three powerful new spatial intelligence analytics tools focused on helping retailers drive in-store profitability. Pathr.ai’s CPG Display Tool, True Conversion Rate Tool, and Brand Effect vs. Location Tool are all designed to deliver previously unavailable business insights that empower retailers to obtain higher levels of revenue and make stronger business decisions for their physical stores.
“Retailers today lack in-store analytics around customer behavior - critical information that can lead to increased profitability and improved business outcomes. We designed our new tools to address some of the most pressing concerns for retailers,” said George Shaw, CEO and Founder of Pathr.ai. “In addition to our Brand Effect vs. Location Tool and True Conversion Rate Tool, now, for the first time ever, retailers will be able to assess the effectiveness of CPG brands at their stores with our CPG Display Tool.”
Pathr.ai’s new tools include:
CPG Display Tool: For the first time ever, retailers have a solution that helps them assess the effectiveness of CPG brands at their stores with store-level data to directly measure and maximize the impact of Category Management efforts. By analyzing shopper traffic and dwell impressions within various store departments, retailers can enhance their strategic CPG brand partnerships by offering them valuable data to improve their merchandise placement and marketing promotions. This information also allows CPG brands to better understand how their products are performing in different areas of a store and can be a potentially lucrative new data source for retailers.
True Conversion Rate Tool: Allows retailers to quantify group size dynamics in their locations (ex: families, couples, or singles) and delivers a more accurate buyer conversion rate for retailers. This is a huge departure from how the conversion rate is typically calculated, with most retailers measuring individuals, not groups. If a family of 4 enters a retail location, usually only one person from that family will pay for a product, not all 4. In addition to a more accurate conversion rate, this data can also be used to inform merchandising and in-store promotion initiatives.
Brand Effect vs. Location Tool: Lets retailers assess how effective their store-within-a-store brands and locations are performing. For example, retailers can leverage this data to understand the full business impact of their store-within-a-store, assessing if that location resulted in traffic to other areas or if it outperformed conventional sections of their store. Retailers can quantify traffic and dwell times around store-within-a-store locations to benchmark rents for each area and guide potential adjustments in location and surrounding store signage to improve performance.
“Spatial Intelligence can be a powerful asset to retailers focused on maximizing their profits and improving operational efficiencies critical to their success. We’ve created our insight tools to empower retailers to make business decisions in an accurate and data-driven way, and ultimately share that insight with their CPG supplier base.”
Alan Flohr, Chief Revenue Officer of Pathr.ai
Pathr.ai integrates and collects data from a retailer’s existing camera infrastructure. It measures customer movement inside a physical space anonymously - allowing companies to comply with GDPR and CCPA standards and achieve positive business results in an unbiased way.
Pathr.ai is the industry’s first AI-powered spatial intelligence software company that uses anonymous location data from available and existing infrastructure to observe human behavior in any physical space. Its sophisticated technology turns raw behavioral and spatial data from existing sensors into actionable and applied business learnings - allowing companies to drive the business results that matter most to the growth of their companies in real-time. Founded in 2019, Pathr.ai is headquartered in Mountain View, California.
Fractal | January 12, 2022
Fractal, a global provider of artificial intelligence and advanced analytics to Fortune 500® companies, today announced the acquisition of Neal Analytics, a cloud, data, engineering and AI Microsoft Gold consulting partner, for an undisclosed amount.
Neal Analytics strengthens Fractal's AI engineering capabilities & cloud-first offerings on Microsoft's multi cloud ecosystems and enables clients to scale AI and power decisions; It also strengthens Fractal's presence in the Pacific Northwest, Canada, and India.
Founded in 2011, Neal Analytics is a Microsoft Gold Consulting Partner supporting its cross-industry clients, such as PepsiCo and Microsoft, in their data-driven transformation initiatives. Neal Analytics' 200+ team brings deep expertise on the Azure stack - across data science, AI & ML, IoT, Edge Computing, BI, application development, migration and modernization, and automation. Neal Analytics also has partnerships with Intel, Nvidia, and Databricks.
"We are excited about partnering with Dylan and his talented team at Neal Analytics. They have built a great client-centric, people-oriented culture, and have an impressive track record of solving and scaling AI engineering challenges, especially on the Microsoft platform, for marquee clients. This partnership will accelerate our ability to power data-driven decisions end-to-end for our Fortune® 500 sized clients."
Srikanth Velamakanni, Co-founder and Group Chief Executive, Fractal
Dylan Dias, CEO, Neal Analytics, said, "This is the successful culmination of a thorough, year-long process. Our goals were to find the best long-term home for Neal's 200+ employees, a platform to scale faster, and the ability to play a bigger role in this fast-accelerating space. Fractal was a clear choice. Our culture and vision are 100% aligned. This is an exciting opportunity to empower our people and work alongside like-minded practitioners to transform businesses with cloud, data, and AI. It will enable Neal Analytics and Fractal to grow and achieve more together."
Satish Raman, Chief Strategy Officer, Fractal, said, "Hyperscale cloud infrastructures are enabling organizations to be more agile and improve their business performance to better serve clients. Neal's award-winning experts in Microsoft's Azure and cloud technologies have been helping organizations to securely migrate, modernize and accelerate their business transformation within the cloud for more than a decade. We're delighted that this acquisition of Neal will further strengthen our rapidly growing analytics, AI, and data engineering business in North America."
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies.
Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Management, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs.
About Neal Analytics
Neal Analytics is a cloud, data, and AI Microsoft Gold Consulting Partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support.
Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value with a focus on right sized and pragmatic approaches towards digital transformation.