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
EXL | December 21, 2021
EXL , a global analytics and digital solutions leader, today announced its acquisition of Clairvoyant, a global data, AI, and cloud services firm. The acquisition strengthens EXL’s capabilities by adding additional expertise in data engineering and cloud enablement, further supporting its clients in insurance, healthcare, banking and financial services, and retail.
With the acquisition, Clairvoyant will become part of EXL’s fast-growing analytics business, which helps clients make sense of data to drive better decision-making across the enterprise and rapidly adapt business strategies in response to market changes. The addition of Clairvoyant’s talent and capabilities in data engineering, AI/ML operations and cloud will accelerate EXL’s data-driven strategy, expanding critical cloud operations capabilities to help our clients drive large-scale digital transformation projects and generate faster value from modern cloud-based data and analytic platforms.
“Data has become the lifeblood of every industry as businesses confront volatile swings in the economy, changes in consumer preferences and the need to continually adapt to new technology. Clairvoyant has established itself as a leader in data and cloud engineering, bringing many of the key structural components we need to expand our offerings and help our clients harness the power of data to enable better and faster decision making.”
Rohit Kapoor, EXL Vice Chairman and Chief Executive Officer
Founded in 2012, Clairvoyant has consistently been named among the fastest growing and most innovative privately held companies in the U.S. Headquartered in Phoenix, AZ, with multiple offices throughout North America and India, the company employs more than 550 people globally and serves marquee clients in the financial services, retail, healthcare, and tech industries.
“The need to quickly aggregate and interpret data has grown exponentially across industries in recent years,” said Vivek Jetley, Executive Vice President and Global Head of Analytics at EXL. “As our clients look to leverage the power of analytics for business advantage, they need to modernize their data capabilities to keep pace. Having worked closely with Clairvoyant, we believe that the combination of our domain expertise, data management and analytics capabilities and their industry-leading data and cloud engineering services will help clients increase agility and speed to value and set the stage for breakthrough solutions.”
"We are thrilled to join forces with EXL. We share a culture of fearless innovation and a relentless commitment to helping our clients overcome some of their biggest challenges,” said Chandra Ambadipudi, Co-Founder and Chief Executive Officer at Clairvoyant. "By integrating our capabilities with EXL’s broad reach and expertise, we will be able to add value across a much wider range of clients and unlock exciting new growth opportunities along the way."
The transaction was completed in the fourth quarter of 2021. Clairvoyant is expected to be accretive to 2022 adjusted diluted EPS and will be reported in our Analytics segment.
EXL is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 34,000 strong, with more than 50 offices spanning six continents.
Clairvoyant is a global technology consulting and services leader that helps organizations in their business transformation by maximizing the value of data through actionable insights. The company provides data engineering, analytics, machine learning, product engineering, and cloud-based solutions to some of the world's largest brands. Founded in 2012, Clairvoyant is headquartered in Phoenix, AZ, with offices in the U.S., Canada, and India.
ODSC | August 04, 2021
ODSC West 2021, the latest in the largest machine learning conference series for learning applied data science, will return to its in-person format for the first time in almost two years this November 16th-18th in San Francisco, California. This event is expected to bring in 2000 people together across all three days. ODSC West 2021 will offer more than 200 training sessions and workshops led by the best industry experts in data science and thought leaders from top companies striving to advance the state of the art.
With the goal of enriching and training the largest data science, artificial intelligence, and machine learning community around the country, ODSC West 2021 will focus on the most in-demand and emerging trends in the field, such as machine and deep learning, NLP, computer vision, predictive analytics, data visualization, and cybersecurity.
Past speakers include Cassie Kozyrkov, Michael I. Jordan, Kurt Keutzer, and other experts in the field of data science and AI from reputable organizations such as Google, UC Berkeley, and Microsoft.
Focus areas for this year’s conference include:
Deep Learning and Deep Reinforcement Learning
Data Engineering and MLOps
Cybersecurity and Machine Learning
Responsible AI and AI for Social Good
Machine Learning Hands-on Training
Artificial Intelligence Research Foundations
In addition to the workshops and machine learning training sessions, ODSC West 2021 will feature a number of bonus events, such as the Ai+ Career Lab & Expo, where 30+ hiring partners will be in attendance to hire the best and brightest data scientists they can find.
November 17th-18th will also feature the Virtual AI Expo, a special event for startups, business professionals, executives, investors, and technologists who seek to build and grow the AI-driven enterprise. All talks and attending companies will highlight specific industries, such as AI for healthcare, finance, climate, and more. Currently scheduled companies include HP, Microsoft, Intel, SAS, Mathworks, Algorithmia, DataRobot, Saturn Cloud, and more to come.
For any interested data science professionals who are unable to attend in-person, ODSC is partnering with the eventX.ai platform to bring a virtual component to the event. This virtual conference will feature a number of talks and training sessions designed to provide in-depth training to anyone interested in ODSC West but are unable to travel to the convention hall. There will also be a virtual Career Expo and AI Expo component as well.
P.S. Register with code ODSC_Media7 today to get an additional discount on your ODSC West in-person or virtual pass.
More on ODSC:
Open Data Science Conference (ODSC) is the leader of applied data science conferences. Our conferences bring industry leaders, key executives, start-up companies, engineers, and investors on the threshold of innovation together.
For more information about the conference, its content, and its partners visit ODSC.com/california, or contact the ODSC Content Marketing Manager, Alex Landa, directly at firstname.lastname@example.org.
BIG DATA MANAGEMENT
HCL Technologies | January 17, 2022
HCL Technologies (HCL), a leading global technology company, signed a definitive agreement for the acquisition of Starschema, a leading provider of data engineering services, based in Budapest, Hungary. The strategic acquisition will bolster HCL’s capability in digital engineering -- driven by data engineering -- and increase its presence in Central and Eastern Europe.
Starschema provides consulting, technology and managed services in data engineering to Global 2000 companies in the U.S. and Europe.
The acquisition combines Starschema’s high-value capabilities and data-focused expertise with HCL’s existing presence in industry segments undergoing data-driven transformation. In addition, HCL will strengthen its position in data engineering, which is an integral part of the company’s digital engineering capabilities and next-generation offerings.
“Joining HCL will enable us to keep our strategic focus and expand our data engineering capacity to provide a greater breadth and depth of services to clients. As part of HCL’s full spectrum of technology services, we will leverage our expertise in data engineering and emerging data technologies to solve companies’ data challenges, through building fast, scalable solutions that make people more effective and companies more profitable. This strategic move also represents exemplary career growth opportunities for our people.”
Tamas Foldi, Founder and CEO, Starschema
“Starschema will strengthen our data engineering capabilities, providing us with the ability to leverage its solutions and talent in Central and Eastern Europe,” said Vijay Guntur, President, Engineering and R&D Services, HCL Technologies. “Starschema’s capabilities will further scale HCL’s data engineering competencies at our integrated delivery centers across the world. Engineering talent will continue to remain in high demand, and Starschema offers a specialized talent pool in a strategic growth area for HCL. Following the acquisition, HCL will be able to offer data engineering consulting and near-shore access to digital engineering services to a wide base of clients.”
The transaction is subject to regulatory clearance from the Hungarian Ministry of Innovation and Technology and is expected to close in March 2022.