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Databricks Announces Launch of SAP Databricks

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Databricks announces new product natively integrated into the SAP Business Data Cloud

SAN FRANCISCO, Feb. 13, 2025 /CNW/ — Databricks, the Data and AI company, today announced the launch of SAP Databricks, a strategic product and go-to-market partnership with SAP that natively integrates the Databricks Data Intelligence Platform within the newly launched SAP Business Data Cloud. The partnership combines the most important business data that is in SAP with the Databricks platform for data warehousing, data engineering, and AI all governed by Databricks Unity Catalog. Databricks recently announced $15B in fundraising and intends to earmark a quarter of a billion dollars ($250M) to help make customers and system integrator partners successful with SAP Databricks across deployment and migrations, ultimately unlocking the tremendous business value of SAP data.

SAP applications power enterprises’ most important decisions around business planning, procurement, HR and travel management. Every enterprise wants to maximize the value of their SAP data by combining it with data from their other business-critical systems. Yet, those systems are varied, and many still sit on-premises in legacy platforms, making it difficult to develop advanced analytics and AI applications. SAP Databricks will have all the relevant datasets enriched and ready to be used for everything from data warehousing to building AI that can reason on that data.

“Every organization is searching for a faster, more reliable way to translate their data into strategic advantage,” said Ali Ghodsi, Co-founder and CEO of Databricks. “Together with SAP, we’re helping businesses seamlessly unify their data sources, streamline analytics, and accelerate the development of domain-specific AI applications.”

“Our partnership with Databricks represents a turning point in how enterprise data is harnessed,” said Muhammad Alam, Executive Board Member at SAP. “Together, we’re fusing SAP’s proven expertise in mission-critical applications with Databricks’ cutting-edge data engineering and AI capabilities to help our customers unlock the next era of digital innovation.”

Databricks + SAP: Domain-specific AI

The power of SAP Databricks is that it allows customers to combine their SAP data with the rest of their enterprise data easily. Through bi-directional sharing of data via Delta Sharing between their SAP Databricks environment and their native Databricks (non-SAP) environment, they can unify all their data without complicated data engineering. This dramatically increases the productivity of teams trying to innovate with their most valuable data. The entire data estate is then consistently governed and secured with Unity Catalog so enterprises can build on a trusted foundation, allowing enterprises to conduct exploratory data science and SQL analytics at scale with a full understanding of the business semantics. Additionally, Mosaic AI capabilities will allow companies to easily develop domain-specific AI trained on their private SAP data to unlock agent systems for the most important functions in their businesses.

Partner Quotes
“Generative AI is a catalyst for reinvention across the enterprise, but to build and scale AI applications effectively, organizations need to have a complete understanding of their data,” said Karthik Narain, Group Chief Executive – Technology and CTO, Accenture. “We’re working closely with SAP and Databricks to help our clients maximize the convenience of integrated and open data, draw better insights faster, create new personalizations and launch AI-based innovations.”

“A strong data foundation remains the cornerstone of all successful AI integrations. SAP Databricks will enable clients to seamlessly merge ERP data with operational insights to maximize the value of AI for organizations and drive critical business benefits,” said Niraj Parihar, CEO of Insights and Data Global Business Line at Capgemini and member of the Group Executive Committee. “The recent acquisition of Syniti reinforces Capgemini’s data-driven digital core business transformation services, notably large-scale SAP transformations. Combined with our long-standing partnership with SAP, Capgemini is expertly placed to drive intelligent decision-making for our clients.”

“Breaking down silos between structured and unstructured data is a crucial step in unlocking true value from data-driven AI investments – especially amid constant industry disruption,” said Jessica Kosmowski, Global Ecosystems and Alliances Leader and Principal at Deloitte Consulting LLP. “The new SAP Databricks offering can address that need for our shared clients, combining the power of the SAP business suite and Databricks with rich SAP data to drive business transformation and data modernization.”

“EY is focused on helping clients connect data from across the enterprise to realize transformative business opportunities,” said EY-Databricks Alliance Leader Hugh Burgin. “We are excited to leverage the combined strengths of SAP and Databricks to transform data into trusted business insights.”

Availability
The new offering, SAP Databricks, is sold by SAP as part of SAP Business Data Cloud, and will be available in a staged rollout on AWS, Azure and Google Cloud. Learn more about SAP Business Data Cloud and SAP Databricks during the SAP Business Unleashed virtual event.

About Databricks
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on X, LinkedIn and Facebook.

Contact: Press@databricks.com

 

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ScienceOra Demonstrates AI-Assisted Hydrogen-Production Catalyst Design Workflow at Tencent Global Digital Ecosystem Summit

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The workflow spans literature analysis, candidate design, experimental planning and industrial decision support, extending AI4S into materials research

SHENZHEN, China, Oct. 30, 2026 /PRNewswire/ — Wenge AI demonstrated an AI-assisted hydrogen-production catalyst design workflow supported by ScienceOra at the 2026 Tencent Global Digital Ecosystem Summit. The demonstration showed how AI for Science (AI4S) can connect literature analysis, catalyst candidate design, experimental planning and industrial decision support, helping materials researchers translate scientific evidence into actionable research plans.

ScienceOra is Wenge AI’s intelligent research decision platform, built on the ScienceOne Scientific Foundation Model. For specialist research tasks such as materials development, the platform brings together scientific models, professional literature, research data and tools to support information access, research-plan development and scientific decision-making.

From literature analysis to catalyst candidate design

The demonstration focused on the design of a high-entropy alloy catalyst for the alkaline hydrogen evolution reaction. To address the need for high activity and durability, ScienceOra searched professional literature and drew on published research methods and elemental properties to support the development of candidate designs. It also cross-checked optimization proposals against relevant literature, providing researchers with references that could be reviewed and verified.

Rather than simply generating material formulations, the workflow connects documentary evidence, materials knowledge and specific design objectives to support more targeted analysis of candidate solutions. Researchers remain responsible for assessing scientific validity and determining subsequent research directions.

From experimental planning to industrial decision support

For experimental planning, ScienceOra can assist in developing research protocols around candidate designs, helping researchers organize experimental variables and producing testing standard operating procedures (SOPs) and related reference information for subsequent validation.

For industrial applications, the platform can also support comparative analysis across dimensions such as the feasibility of scaled hydrogen production, performance at industrially relevant current densities, durability, raw-material availability and compatibility with mass-production synthesis processes. It can then assist in establishing decision priorities, screening criteria and process-improvement recommendations.

Candidate designs, experimental plans, process recommendations and references can be consolidated into a structured research report, helping R&D teams assess scientific evidence alongside engineering constraints. AI provides analytical and decision support, while experimental testing and scientific validation remain essential parts of materials research.

Previously disclosed collaboration reports design efficiency and activity improvements

In a previously disclosed industry–research collaboration on hydrogen-production catalyst design, ScienceOra supported literature analysis and research-plan development. The collaboration reported a 38% improvement in catalyst activity and reduced the design stage from several months to 30 minutes. The case illustrates the potential of domain-specific AI to connect scientific literature, research design and engineering requirements.

ScienceOra was recently made available on Tencent WorkBuddy, with an initial offering of more than 30 research expert agents and skills covering literature analysis, research hypotheses, plan design, modeling and simulation, validation analysis and research communication. The conference demonstration further illustrated how ScienceOra can be applied to specialist materials research, as AI4S moves beyond general information processing toward support for research workflows and industrial R&D decision-making.

For more information, visit https://www.scienceone.ai/portal/.

About Wenge AI

Wenge AI (1956.HK) is a provider of artificial intelligence technology and service platform products for enterprises. With self-developed large models as its core, the company helps enterprises build practical intelligent platforms and applications. Founded by a team of AI scientists from the Chinese Academy of Sciences, Wenge AI has deep technological expertise in large models, cognitive intelligence and complex-system modeling, and is committed to advancing AI from technological capabilities to enterprise-level applications.

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Cake Digital Bank Wins Gold at Qorus-Infosys Finacle Banking Innovation Awards 2026

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ROME, Oct. 31, 2026 /PRNewswire/ — Cake Digital Bank, a digital-only bank from Vietnam, has won Gold at the Qorus-Infosys Finacle Banking Innovation Awards 2026 for its initiative, “Reinventing Financial Experiences Through an AI-First Banking Model.” Cake was the only financial institution from Vietnam recognized at this year’s awards.

The winners were celebrated in Rome, Italy, during Infosys Finacle Conclave 2026. The 13th edition of the awards attracted 538 submissions from 206 financial institutions across 68 countries, with 37 institutions recognized across ten award categories. The selection process combined voting by industry peers with evaluation by an expert jury of 81 senior banking executives.

The award-winning institutions included leading international banking names such as Santander, Commonwealth Bank, DBS, Maybank, and CaixaBank, reflecting the global scope and competitive landscape of the awards.

John Berry, Chairman of Qorus, observed that the banking industry is entering a new era in which AI is becoming integral to innovation, transforming initiatives and expanding the possibilities of financial services.

Building an AI-First Banking Model from the Ground Up

As artificial intelligence becomes increasingly central to banking innovation, financial institutions face a growing challenge: translating technological capabilities into better customer experiences, greater operational efficiency, and sustainable business performance.

Cake’s AI-first approach reflects this industry shift while taking a different starting point. Rather than integrating AI into established banking processes, Cake was built as a digital-only bank from the outset, embedding AI, data, and automation into its technology architecture, operating model, and customer journeys.

This greenfield foundation has enabled Cake to develop an integrated AI-first banking model, where technology supports how the bank makes decisions, manages operations, and delivers financial services at scale.

Supported by its independently developed core banking and card management systems, Cake applies AI across the banking value chain, from customer onboarding, credit assessment, and fraud prevention to risk management, customer service, and personalized financial recommendations.

Beyond operational efficiency, Cake has also invested in localized AI capabilities designed specifically for Vietnamese users, enabling more accessible, responsive, and personalized financial experiences.

Scaling Growth with Efficiency and Sustainable Business Performance

Nearly six years since its launch, Cake has grown to serve more than 8 million customers, demonstrating the scalability of its branchless digital banking model.

Cake achieved positive EBITDA in Q3 2024, just 3.5 years after launch, marking a significant milestone in demonstrating the viability of its digital-only banking model. The bank subsequently recorded 173% year-on-year revenue growth in 2025, followed by a further 121% growth in 2026, reflecting sustained business momentum as it continues to scale. Meanwhile, average revenue per user (ARPU) increased from USD 12 in 2024 to USD 44 in 2026, highlighting Cake’s ability to generate greater value from its growing customer base.

Beyond customer acquisition, Cake’s growth strategy increasingly focuses on deepening customer relationships and expanding the range of financial needs served through its platform and partner ecosystems. This approach reflects the bank’s evolution toward a mature digital banking model, where scale is complemented by stronger customer engagement, operational efficiency, and long-term business sustainability.

Nguyen Huu Quang, CEO of Cake Digital Bank, said:

“Winning Gold at the Qorus-Infosys Finacle Banking Innovation Awards is a meaningful international recognition of Cake’s AI-first banking model. From the beginning, our ambition has been to build a digital bank that combines technological innovation with sustainable business performance, while making financial services simpler, more accessible, and more relevant to customers. This recognition reinforces our commitment to delivering world-class banking experiences for Vietnamese users and continuing to advance our AI-first capabilities.”

The Gold Award marks another milestone in Cake’s development as a next-generation AI-first digital bank. It also demonstrates how a banking model developed and scaled in an emerging market can deliver meaningful customer and business outcomes, contributing practical perspectives to the global conversation on the future of digital banking.

In September 2026, Cake was also named “Vietnam’s Best Digital Bank” by Euromoney under its Group Level Banking Awards, further recognizing the bank’s progress in strategy, technology, and business performance.

About the Qorus-Infosys Finacle Banking Innovation Awards

The Qorus-Infosys Finacle Banking Innovation Awards are jointly organized by Qorus, a global association for retail financial institutions, and Infosys Finacle, a digital banking solutions provider. Now in their 13th edition, the awards recognize innovative initiatives and banking models that deliver meaningful impact across the global financial services industry.

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KSAT and Morehead State University Partner to Expand Lunar Communications Infrastructure

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Partnership strengthens the KSAT Lunar Network and supports deep space and lunar exploration

DENVER and MOREHEAD, Ky., Oct. 31, 2026 /PRNewswire/ — Kongsberg Satellite Services (KSAT), a leading provider of ground station networks and satellite operations, today announced a strategic partnership with Morehead State University (MSU) to enhance the KSAT Lunar Network, supporting the growing demand for communications and tracking services for deep space and lunar missions.

The partnership leverages MSU Space Science Center’s established deep space communications capabilities, including its 21-meter and 12-meter-class antennas in Morehead, Kentucky, to further increase the KSAT Lunar Network. Together, the partnership enables mission operators to maintain reliable links with spacecraft operating beyond Earth orbit by adding network capacity and resiliency over the Eastern United States.

“Partnering with MSU advances KSAT’s ability to deliver the communications infrastructure required for the accelerated demand for deep space and lunar missions. We are especially thrilled about this partnership as it helps enable science and exploration space missions today, while developing the next-generation workforce to support the long-term development of the U.S. cislunar economy,” said Dan Adams, General Manager of KSAT Inc.

“This partnership reflects our commitment to supporting the future of space exploration through innovation, education, and collaboration,” said Dr. Benjamin K. Malphrus, Executive Director of Space Science Center. “Working with KSAT provides exciting opportunities for our students and researchers while enabling us to contribute directly to the thriving commercial sector.”

KSAT and MSU share a strong commitment and heritage of supporting NASA’s Artemis program, most recently the Artemis II mission, and the broader science and exploration, as well as inspiring the next generation. In addition to expanding KSAT Lunar capabilities, the partnership will create even more opportunities for student involvement and workforce development through KSAT’s internship programs, helping prepare the next generation of engineers and space professionals for careers in the rapidly growing space sector.

About KSAT:

Kongsberg Satellite Services (KSAT) is the leading commercial provider of Ground Station Services, Earth Observation Services, and Satellite Operations Services. Headquartered in Tromsø, Norway, the company operates the largest commercial satellite ground station network worldwide, including facilities in Svalbard and Antarctica to provide unique southern hemisphere coverage. Through KSAT Inc., KSAT’s U.S. based full-capability subsidiary, KSAT delivers mission-critical infrastructure for customers in government, civil, and commercial space in the United States, as well as the global space industry. 

About MSU:
Morehead State University (MSU) is a comprehensive, regional university located in Appalachian Kentucky in the Daniel Boone National Forest. MSU is known for excellence in STEM fields and pre-professional programs. The Space Science Center is MSU’s Program of Distinction and manages a significant research and development portfolio in small satellite systems, having executed 7 smallsat missions to date. The Center operates a 21-meter ground station and a 12-meter tracking antenna that provides lunar tracking services and smaller aperture ground stations for satellite telecommunications support. The Center also supports innovative undergraduate, graduate and a Doctor of Engineering program in Space Systems Engineering.

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