HCL Technologies to Use ScienceLogic's SL1 Automation Engine to Accelerate Digital Transformation
ScienceLogic, a leader in context-infused AIOps, providing IT operations with actionable insights from IT operational data, today announced a partnership with leading global technology company HCL Technologies. The partnership will address the growing need for automated IT Operations among HCL’s enterprise customers as they embark on digital transformation initiatives.
Applying machine learning to IT operations has remained elusive due to the challenges of collecting, organizing and acting on fragmented, disparate IT operational data, particularly amid the highly dynamic and ephemeral nature of modern cloud-based and hybrid infrastructure and services. The new partnership allows DRYiCE, a division of HCL Technologies and an established leader in AIOps focused on building AI powered products & platforms, to leverage the ScienceLogic SL1 Automation Engine to provide a consistent source of clean, contextualized operational data in real-time. Clean, consistent data enables machine learning engines to power AIOps and drive automation of key IT processes for HCL’s enterprise customers.
“Our customers are increasingly relying on HCL Technologies for guidance and support in their digital transformation journeys,” said Kalyan Kumar, Global CTO at HCL Technologies. “DRYiCE products & platforms have traditionally helped our customers to transform and simplify their IT operations. By leveraging artificial intelligence, machine learning and automation we intend to consistently deliver quality services and insights to our customers. SL1 will help accelerate those capabilities so that we and our customers alike remain competitive today and well into the future.”
ScienceLogic SL1 provides automated real-time discovery and synchronization across both application and infrastructure topology, integrating with new and existing ecosystem components and populating CMDBs with timely and accurate data from a clean data lake. This drives higher quality machine learning and enables AIOps processes to greatly alleviate the burden on IT operations personnel.
“We are delighted to partner with HCL Technologies in such an important aspect of their business, providing clean, contextualized, and actionable data that enables machine learning, automation and improved service delivery for their enterprise customers,” said Dave Link, CEO and Founder of ScienceLogic. “DRYiCE has deep capability in AI and related technologies that is being enhanced by tie-ups with academia and a strong partner ecosystem. The adoption of AIOps has grown rapidly and HCL’s adoption of SL1 validates the importance of this market segment.”
HCL provides outsourced IT management services to some of the largest enterprises on the planet. DRYiCE, a division of HCL Technologies, is an established leader in AIOps delivering enterprise-grade solutions to reimagine clients’ IT & business landscape by leveraging AI. With SL1 in place, HCL will help its enterprise customers transform and modernize their IT infrastructure and applications and keep pace with rapidly changing customer expectations through more advanced digitization and automation of key IT systems and processes.
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ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations, ScienceLogic’s technology was designed for the rigorous security requirements of United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises. https://sciencelogic.com/
About HCL Technologies
HCL Technologies (HCL) is a leading global technology company that helps forward looking enterprises re-imagine and transform their businesses. HCL operates out of 39 countries and has consolidated revenues of US$ 7.8 billion, for 12 Months ended 31st March 2018. HCL focuses on providing an integrated portfolio of products, solutions and services underlined by its Mode 1-2-3 growth strategy. Mode 1 encompasses the core services in the areas of Applications, Infrastructure, BPO and Engineering & R&D services, leveraging DRYiCE™ Autonomics to transform clients’ business and IT landscape, making them ‘lean’ and ‘agile’. Mode 2 focuses on experience-centric and outcome-oriented integrated offerings of Digital & Analytics, IoT WoRKS™, Cloud Native Services and Cybersecurity & GRC services to drive business outcomes and enable enterprise digitalization. Mode 3 strategy is ecosystem-driven, creating innovative IP-partnerships and Organic IP to build products and platforms business. HCL leverages its global network of integrated co-innovation labs and global delivery capabilities to provide holistic multi-service delivery in key industry verticals including Financial Services, Manufacturing, Telecommunications, Media, Publishing, Entertainment, Retail & CPG, Life Sciences & Healthcare, Oil & Gas, Energy & Utilities, Travel, Transportation & Logistics and Government. With 120,081 professionals from diverse nationalities, HCL focuses on creating real value for customers by taking ‘Relationships Beyond the Contract’. For more information, please visit HCL Technologies.
DRYiCE is a division of HCL Technologies that is focused on building AI-powered products & platforms for the digital world, with the vision of transforming & simplifying enterprise IT, Business & Digital operations. These products & platforms leverage the world’s best A.I. technology, IT automation, and robotic process automation to enable enterprises to operate leaner, faster, and in a cost-efficient manner, while ensuring superior business outcomes. Our vision focuses on: AI-led Service Assurance, enabling a Service Oriented Enterprise, and Driving Enterprise-wide Digital Agility. To know more about DRYiCE, click here.