Latest news with #EXL
Yahoo
3 days ago
- Business
- Yahoo
EXL partners with Databricks to launch Gen-AI powered code migration accelerator
EXL Code Harbor™ solution speeds code migration from SAS to Databricks with up to 80% reduction in manual effort NEW YORK, May 30, 2025 (GLOBE NEWSWIRE) -- EXL [NASDAQ: EXLS], a leading data and AI company, expanded its partnership with Databricks, the data and AI company, to deploy a GenAI-enabled SAS to Databricks Data Intelligence Platform migration solution. Leveraging EXL's Code Harbor™ solution, the solution helps enterprises streamline their transition from SAS to Databricks to support enhanced cloud modernization initiatives. EXL has also achieved Select partner status with Databricks to accelerate the development of new AI and GenAI solutions within the Databricks ecosystem. EXL's Code Harbor is a GenAI-enabled solution that facilitates the migration of legacy codebases into the modern open-source languages and cloud environments like Databricks Lakehouse. EXL has refined the solution to automate key aspects of SAS to Databricks migration, significantly reducing manual effort while facilitating high-quality code transformation. EXL Code Harbor is designed for multi-industry usage across insurance, banking and healthcare where SAS has traditionally maintained a strong presence. In addition to SAS, the solution also supports migration and assessment of other languages including BTEQ, HQL, PL/SQL, SQL Server and R, in addition to ETL platforms such as Informatica, Alteryx and DataStage. Clients using EXL Code Harbor benefit from EXL's deep domain expertise and advanced AI capabilities while retaining the flexibility to integrate with on-premises, cloud and hybrid environments. A leading global insurance provider recently partnered with EXL to migrate its extensive SAS codebase to the Databricks Data Intelligence Platform using Code Harbor. The client achieved 50% faster migration with minimal manual intervention, improved compliance through comprehensive metadata documentation and drove integration with their governance frameworks. 'The biggest challenge enterprises face when migrating from legacy systems is the time, cost and complexity involved in transforming extensive codebases,' said Anand 'Andy' Logani, EXL's chief digital and AI officer. 'By providing an intelligent automation solution with embedded AI agents, clients can now accelerate their migration timelines by up to 50% while reducing manual efforts by 70-80%.' Unlike traditional migration approaches that rely heavily on manual processes, EXL Code Harbor utilizes an autonomous multi-agent framework to accelerate enterprise-scale code and data transformation. Leveraging Databricks' Unity Catalog and governance layer, the SAS to Databricks solution accelerator ensures enterprise-grade discoverability, traceability and compliance across every annotation asset. By automating the manual effort involved in assessing, writing and optimizing code, the solution transforms the entire migration process, leading to faster delivery, reduced costs and improved accuracy. More information about EXL Code Harbor can be found here. About EXL EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have approximately 60,000 employees spanning six continents. For more information, visit press release contains forward-looking statements within the meaning of the United States Private Securities Litigation Reform Act of 1995. You should not place undue reliance on those statements because they are subject to numerous uncertainties and factors relating to EXL's operations and business environment, all of which are difficult to predict and many of which are beyond EXL's control. Forward-looking statements include information concerning EXL's possible or assumed future results of operations, including descriptions of its business strategy. These statements may include words such as 'may,' 'will,' 'should,' 'believe,' 'expect,' 'anticipate,' 'intend,' 'plan,' 'estimate' or similar expressions. These statements are based on assumptions that we have made in light of management's experience in the industry as well as its perceptions of historical trends, current conditions, expected future developments and other factors it believes are appropriate under the circumstances. You should understand that these statements are not guarantees of performance or results. They involve known and unknown risks, uncertainties and assumptions. Although EXL believes that these forward-looking statements are based on reasonable assumptions, you should be aware that many factors could affect EXL's actual financial results or results of operations and could cause actual results to differ materially from those in the forward-looking statements. These factors, which include our ability to maintain and grow client demand, our ability to hire and retain sufficiently trained employees, and our ability to accurately estimate and/or manage costs, rising interest rates, rising inflation and recessionary economic trends, are discussed in more detail in EXL's filings with the Securities and Exchange Commission, including EXL's Annual Report on Form 10-K. You should keep in mind that any forward-looking statement made herein, or elsewhere, speaks only as of the date on which it is made. New risks and uncertainties come up from time to time, and it is impossible to predict these events or how they may affect EXL. EXL has no obligation to update any forward-looking statements after the date hereof, except as required by federal securities laws. ContactsMedia Keith Little+1 703-598-0980 Investor RelationsJohn Kristoff+1 212 209 4613IR@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
3 days ago
- Business
- Yahoo
EXL partners with Databricks to launch Gen-AI powered code migration accelerator
EXL Code Harbor™ solution speeds code migration from SAS to Databricks with up to 80% reduction in manual effort NEW YORK, May 30, 2025 (GLOBE NEWSWIRE) -- EXL [NASDAQ: EXLS], a leading data and AI company, expanded its partnership with Databricks, the data and AI company, to deploy a GenAI-enabled SAS to Databricks Data Intelligence Platform migration solution. Leveraging EXL's Code Harbor™ solution, the solution helps enterprises streamline their transition from SAS to Databricks to support enhanced cloud modernization initiatives. EXL has also achieved Select partner status with Databricks to accelerate the development of new AI and GenAI solutions within the Databricks ecosystem. EXL's Code Harbor is a GenAI-enabled solution that facilitates the migration of legacy codebases into the modern open-source languages and cloud environments like Databricks Lakehouse. EXL has refined the solution to automate key aspects of SAS to Databricks migration, significantly reducing manual effort while facilitating high-quality code transformation. EXL Code Harbor is designed for multi-industry usage across insurance, banking and healthcare where SAS has traditionally maintained a strong presence. In addition to SAS, the solution also supports migration and assessment of other languages including BTEQ, HQL, PL/SQL, SQL Server and R, in addition to ETL platforms such as Informatica, Alteryx and DataStage. Clients using EXL Code Harbor benefit from EXL's deep domain expertise and advanced AI capabilities while retaining the flexibility to integrate with on-premises, cloud and hybrid environments. A leading global insurance provider recently partnered with EXL to migrate its extensive SAS codebase to the Databricks Data Intelligence Platform using Code Harbor. The client achieved 50% faster migration with minimal manual intervention, improved compliance through comprehensive metadata documentation and drove integration with their governance frameworks. 'The biggest challenge enterprises face when migrating from legacy systems is the time, cost and complexity involved in transforming extensive codebases,' said Anand 'Andy' Logani, EXL's chief digital and AI officer. 'By providing an intelligent automation solution with embedded AI agents, clients can now accelerate their migration timelines by up to 50% while reducing manual efforts by 70-80%.' Unlike traditional migration approaches that rely heavily on manual processes, EXL Code Harbor utilizes an autonomous multi-agent framework to accelerate enterprise-scale code and data transformation. Leveraging Databricks' Unity Catalog and governance layer, the SAS to Databricks solution accelerator ensures enterprise-grade discoverability, traceability and compliance across every annotation asset. By automating the manual effort involved in assessing, writing and optimizing code, the solution transforms the entire migration process, leading to faster delivery, reduced costs and improved accuracy. More information about EXL Code Harbor can be found here. About EXL EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have approximately 60,000 employees spanning six continents. For more information, visit press release contains forward-looking statements within the meaning of the United States Private Securities Litigation Reform Act of 1995. You should not place undue reliance on those statements because they are subject to numerous uncertainties and factors relating to EXL's operations and business environment, all of which are difficult to predict and many of which are beyond EXL's control. Forward-looking statements include information concerning EXL's possible or assumed future results of operations, including descriptions of its business strategy. These statements may include words such as 'may,' 'will,' 'should,' 'believe,' 'expect,' 'anticipate,' 'intend,' 'plan,' 'estimate' or similar expressions. These statements are based on assumptions that we have made in light of management's experience in the industry as well as its perceptions of historical trends, current conditions, expected future developments and other factors it believes are appropriate under the circumstances. You should understand that these statements are not guarantees of performance or results. They involve known and unknown risks, uncertainties and assumptions. Although EXL believes that these forward-looking statements are based on reasonable assumptions, you should be aware that many factors could affect EXL's actual financial results or results of operations and could cause actual results to differ materially from those in the forward-looking statements. These factors, which include our ability to maintain and grow client demand, our ability to hire and retain sufficiently trained employees, and our ability to accurately estimate and/or manage costs, rising interest rates, rising inflation and recessionary economic trends, are discussed in more detail in EXL's filings with the Securities and Exchange Commission, including EXL's Annual Report on Form 10-K. You should keep in mind that any forward-looking statement made herein, or elsewhere, speaks only as of the date on which it is made. New risks and uncertainties come up from time to time, and it is impossible to predict these events or how they may affect EXL. EXL has no obligation to update any forward-looking statements after the date hereof, except as required by federal securities laws. ContactsMedia Keith Little+1 703-598-0980 Investor RelationsJohn Kristoff+1 212 209 4613IR@ in to access your portfolio
Yahoo
6 days ago
- Business
- Yahoo
UK businesses race to embed AI into enterprise workflows, EXL study finds
Three-quarters of companies believe they have an edge on their competition, but many worry siloed data and talent shortages could impede their AI progress LONDON, May 28, 2025 (GLOBE NEWSWIRE) -- Businesses in the UK are making significant changes in the ways they work as they increasingly embed AI throughout their workflows and to scale and maximise ROI, according to new research by EXL [NASDAQ: EXLS], a global data and AI company. An 86% majority of organisations have significantly changed their operating model to accommodate AI, with 39% having completely redesigned how they work. Over the next year, companies expect half (50%) of their processes will include AI. The second annual EXL Enterprise AI Study: Driving Execution at Scale (UK Report) is based on a survey of 190 UK-based C-suite and other senior decision makers across the banking and finance, insurance, retail, utilities, and healthcare payer industries. Its findings shine a spotlight on the massive growth of enterprise GenAI implementations to date but also warn of data quality issues, talent shortages, and other roadblocks that could curtail some of the early progress companies have made as they move deeper into company-wide enterprise AI initiatives. The following are some of the report's key findings: Finance Leading the Charge: Leaders have emerged in the AI space, and the survey defines these organisations as those that have developed AI capabilities in at least five of the seven common business functions analysed in the report. Leaders were most likely to come from the banking and finance sector (18%), followed by utilities (16%), insurance (12%), and retail (10%). Transforming to Enable AI in the Workflow: Organisations are developing new operating models to accommodate AI usage across their enterprise workflows. Overall, 86% of UK corporations have either made significant changes to their operating models (47%) or completely redesigned enterprise-wide operating models (39%) to integrate AI throughout their organisations. Barriers Still Persist: Despite an average of £23.2 million per company in AI investment, barriers to adoption persist. The largest of these are cost or budget constraints, followed by concerns about data privacy and security, and the lack of a clear AI strategy or vision. What's more, nearly 70% of companies say they have yet to achieve the data accessibility, efficiency, quality, consistency, and transparency required for AI to thrive in their organisations. Companies Eye the Best Ways to Scale AI: Overall, 88% of respondents said it's very or extremely important for their organization to scale their AI initiatives in the coming year. Executives ranked implementing AI governance (42%) and improving data quality and accessibility (42%) as their top priorities. Retailers Eager to Make Larger Investments: Retailers are the most likely (42%) to say they are ramping up GenAI significantly, followed by utilities (30%), banking and finance (24%), and insurers (9%). 'The only way large corporations can truly capitalise on the full power of AI is by integrating the technology into enterprise workflows,' said Anand 'Andy' Logani, chief data and AI officer at EXL. 'Executed well, the right AI strategy has the ability to deliver unmatched business value without disrupting core business functions.' The full report, 2025 EXL Enterprise AI Study: Driving AI Execution at Scale (UK Report), can be accessed here. About EXL EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have approximately 60,000 employees spanning six continents. For more information, visit ContactsMedia Keith Little+1 703-598-0980 Investor RelationsJohn Kristoff+1 212 209 4613IR@ A PDF accompanying this announcement is available at
Yahoo
6 days ago
- Business
- Yahoo
UK businesses race to embed AI into enterprise workflows, EXL study finds
Three-quarters of companies believe they have an edge on their competition, but many worry siloed data and talent shortages could impede their AI progress LONDON, May 28, 2025 (GLOBE NEWSWIRE) -- Businesses in the UK are making significant changes in the ways they work as they increasingly embed AI throughout their workflows and to scale and maximise ROI, according to new research by EXL [NASDAQ: EXLS], a global data and AI company. An 86% majority of organisations have significantly changed their operating model to accommodate AI, with 39% having completely redesigned how they work. Over the next year, companies expect half (50%) of their processes will include AI. The second annual EXL Enterprise AI Study: Driving Execution at Scale (UK Report) is based on a survey of 190 UK-based C-suite and other senior decision makers across the banking and finance, insurance, retail, utilities, and healthcare payer industries. Its findings shine a spotlight on the massive growth of enterprise GenAI implementations to date but also warn of data quality issues, talent shortages, and other roadblocks that could curtail some of the early progress companies have made as they move deeper into company-wide enterprise AI initiatives. The following are some of the report's key findings: Finance Leading the Charge: Leaders have emerged in the AI space, and the survey defines these organisations as those that have developed AI capabilities in at least five of the seven common business functions analysed in the report. Leaders were most likely to come from the banking and finance sector (18%), followed by utilities (16%), insurance (12%), and retail (10%). Transforming to Enable AI in the Workflow: Organisations are developing new operating models to accommodate AI usage across their enterprise workflows. Overall, 86% of UK corporations have either made significant changes to their operating models (47%) or completely redesigned enterprise-wide operating models (39%) to integrate AI throughout their organisations. Barriers Still Persist: Despite an average of £23.2 million per company in AI investment, barriers to adoption persist. The largest of these are cost or budget constraints, followed by concerns about data privacy and security, and the lack of a clear AI strategy or vision. What's more, nearly 70% of companies say they have yet to achieve the data accessibility, efficiency, quality, consistency, and transparency required for AI to thrive in their organisations. Companies Eye the Best Ways to Scale AI: Overall, 88% of respondents said it's very or extremely important for their organization to scale their AI initiatives in the coming year. Executives ranked implementing AI governance (42%) and improving data quality and accessibility (42%) as their top priorities. Retailers Eager to Make Larger Investments: Retailers are the most likely (42%) to say they are ramping up GenAI significantly, followed by utilities (30%), banking and finance (24%), and insurers (9%). 'The only way large corporations can truly capitalise on the full power of AI is by integrating the technology into enterprise workflows,' said Anand 'Andy' Logani, chief data and AI officer at EXL. 'Executed well, the right AI strategy has the ability to deliver unmatched business value without disrupting core business functions.' The full report, 2025 EXL Enterprise AI Study: Driving AI Execution at Scale (UK Report), can be accessed here. About EXL EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have approximately 60,000 employees spanning six continents. For more information, visit ContactsMedia Keith Little+1 703-598-0980 Investor RelationsJohn Kristoff+1 212 209 4613IR@ A PDF accompanying this announcement is available at while retrieving data Sign in to access your portfolio Error while retrieving data
Time of India
26-05-2025
- Science
- Time of India
YCCE organises six-day FDP on quantum computing and applications
Nagpur: In a move to align academic expertise with rapidly evolving technological trends, the departments of computer science and engineering and information technology at Yeshwantrao Chavan College of Engineering (YCCE), Nagpur, jointly organised a six-day faculty development programme (FDP) on 'Quantum Computing and Applications' from May 19 to 24. The programme was held under the Kalam Impact 2.0 initiative, which focuses on enhancing faculty capabilities through exposure to frontier technologies. The FDP featured Dr Raunak Rathi, an industry expert from EXL, Pune, known for his significant contributions to quantum technologies. His sessions provided a balanced blend of theoretical knowledge and practical insights, drawing appreciation from participants across departments. The event was organised under the guidance of principal Dr UP Waghe and MGI technical director Manali Kshirsagar. Heads of departments — Prof Lalit Damahe (CSE) and Prof Rajesh Dharmik (IT) — commended the faculty for their enthusiastic participation and commitment to continuous learning. Coordinated by faculty members Purnima Pande, Swati Kale, and Chanchla Tripathi, the programme underscored YCCE's focus on continuous professional development. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Anvisa aprova solução para ajudar a reduzir gordura visceral da barriga em 7 dias! Você Mais Saudável Hoje Saiba Mais Undo Participants noted the relevance of the sessions in preparing educators to effectively integrate cutting-edge advancements such as quantum computing into the academic framework. This initiative marks another step in YCCE's ongoing efforts to bridge the gap between academia and industry, ensuring its teaching community stays abreast of transformative technologies shaping the future. Nagpur: In a move to align academic expertise with rapidly evolving technological trends, the departments of computer science and engineering and information technology at Yeshwantrao Chavan College of Engineering (YCCE), Nagpur, jointly organised a six-day faculty development programme (FDP) on 'Quantum Computing and Applications' from May 19 to 24. The programme was held under the Kalam Impact 2.0 initiative, which focuses on enhancing faculty capabilities through exposure to frontier technologies. The FDP featured Dr Raunak Rathi, an industry expert from EXL, Pune, known for his significant contributions to quantum technologies. His sessions provided a balanced blend of theoretical knowledge and practical insights, drawing appreciation from participants across departments. The event was organised under the guidance of principal Dr UP Waghe and MGI technical director Manali Kshirsagar. Heads of departments — Prof Lalit Damahe (CSE) and Prof Rajesh Dharmik (IT) — commended the faculty for their enthusiastic participation and commitment to continuous learning. Coordinated by faculty members Purnima Pande, Swati Kale, and Chanchla Tripathi, the programme underscored YCCE's focus on continuous professional development. Participants noted the relevance of the sessions in preparing educators to effectively integrate cutting-edge advancements such as quantum computing into the academic framework. This initiative marks another step in YCCE's ongoing efforts to bridge the gap between academia and industry, ensuring its teaching community stays abreast of transformative technologies shaping the future.
