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Tag: Large Language Models

business

CrowdStrike Collaborates with Hewlett Packard Enterprise to Secure End-to-End AI Innovation, Including LLMs

Jun 19, 2024 by Gayathri Pariti 0 Comments #AI innovation, #Bengaluru, #CrowdStrike, #CrowdStrike Collaborates with Hewlett Packard Enterprise, #CrowdStrike Falcon® cybersecurity platform, #Fidelma Russo, #George Kurtz, #Including LLMs, #Large Language Models

BENGALURU, India. June 19, 2024 – CrowdStrike announced a strategic partnership with Hewlett Packard Enterprise to secure end-to-end AI innovation, including large language models (LLMs), accelerated by NVIDIA.

George Kurtz, CrowdStrike

With the integration of the CrowdStrike Falcon® cybersecurity platform and HPE GreenLake cloud and OpsRamp AIOps, organizations can seamlessly unify IT operations and cybersecurity in a single, unified process to securely accelerate AI innovation. The combination of rich asset information from the Falcon platform and OpsRamp’s AI-driven observability provides a unified service map view of attack surface security across their entire infrastructure and applications. Organizations can rapidly uncover and eliminate gaps in security protection in the accelerated AI pipeline, enforcing resilience and integrity of AI innovations.

OpsRamp delivers a unified operational view of applications and infrastructure with full-stack observability. It also enables comprehensive operations and automation for NVIDIA accelerated computing and AI workloads from a single, unified console. OpsRamp’s operations copilot dramatically increases the efficiency of operations teams with a generative AI-powered conversational assistant for rapid detection and remediation of issues. Additional integrations into the HPE Greenlake cloud will allow CrowdStrike to protect AI workloads and LLMs, accelerated by NVIDIA AI Computing by HPE, a co-developed portfolio of AI solutions and joint go-to-market integrations that enable enterprises to accelerate adoption of generative AI, from edge to datacenter to cloud. Among the portfolio’s key offerings announced this week at HPE Discover is HPE Private Cloud AI, a first-of-its-kind solution that provides the deepest integration to date of NVIDIA AI computing, networking and software with HPE’s AI storage, compute and the HPE GreenLake cloud.

“Security is crucial for AI applications and the data they access,” said Fidelma Russo, EVP/GM Hybrid Cloud and Chief Technology Officer at HPE. “Our strategic collaboration with CrowdStrike, combined with our OpsRamp observability, offers complete endpoint security to protect your AI applications running on HPE Private Cloud AI.”

“Security needs to parallel the slope of technology innovation. GenAI promises to transform business operations, and the best AI requires the best AI-powered security,” said George Kurtz, CEO and Founder of CrowdStrike. “Our partnership with HPE combines powerful enterprise computing with the industry’s premier security platform to accelerate secure end-to-end AI and ML adoption.”

technology

Persistent Launches GenAI Hub to Power New Era of Enterprise AI Adoption

Jun 6, 2024 by Gayathri Pariti 0 Comments #A global Digital Engineering and Enterprise Modernization leader, #EMEA, #Enterprise AI Adoption, #GenAI Hub, #GenAI Hub to Power New Era of Enterprise AI Adoption, #global business, #HFS Research, #Large Language Models, #LLMs, #Mark Troller, #Praveen Bhadada, #Thomas Reuner

Persistent Systems , a global Digital Engineering and Enterprise Modernization leader, announced the launch of GenAI Hub, an innovative platform designed to accelerate the creation and deployment of Generative AI (GenAI) applications within enterprises. This platform seamlessly integrates with an organization’s existing infrastructure, applications, and data, enabling the rapid development of tailored, industry specific GenAI solutions. GenAI Hub supports the adoption of GenAI across various Large Language Models (LLMs) and clouds, without provider lock-in.

To effectively leverage the potential of GenAI and translate ideas into tangible business outcomes, enterprises must seamlessly integrate it into their existing systems. With a wide array of AI models ranging from extensive to specialized, clients require a robust platform like the    GenAI Hub. This platform simplifies the development and management of multiple GenAI models, expediting market readiness through pre-built software components, all while upholding responsible AI principles.

  • The GenAI Hub is comprised of five major components:
    Playground is a no-code tool for domain experts to explore and apply GenAI with LLMs on enterprise data without the need for programming skills. It provides a single uniform  interface to LLMs from private providers like Azure OpenAI, AWS Bedrock, and Google Gemini, and open models from Hugging Face like LLaMA2 and Mistral.
  • Agents Framework provides a versatile architecture for GenAI application development, leveraging libraries like LangChain and LlamaIndex for innovative solutions, including Retrieval Augmented Generation (RAG).
    © 2024 Persistent Systems Ltd. All rights reserved. 2
  • Evaluation Framework uses an “AI to validate AI” approach and can auto-generate ground-truth questions to be verified by a human-in-the-loop. It employs metrics to track application performance and measures any drift and bias that can be addressed.
  • Gateway serves as a router across LLMs, enabling application compatibility and improving the management of service priorities and load balancing. It also offers detailed insights into token consumption and associated costs.
  • Custom Model Pipelines facilitate the creation and integration of bespoke LLMs and Small Language Models (SLMs) into the GenAI ecosystem, supporting a streamlined process for  data preparation and model fine-tuning suitable for both cloud and on-premises deployments.

The GenAI Hub streamlines the development of use cases for enterprises, offering step-by-step guidance and seamless integration of data in LLMs, enabling the rapid creation of efficient and  secure GenAI solutions at scale, whether for end users, customers, or employees.

Praveen Bhadada, Global Business Head–AI, Persistent:

“At Persistent, we have always stayed ahead of the curve to capitalize on the latest industry technology trends, and now we’re reaching new frontiers in GenAI to solve critical enterprise challenges and turbocharge client growth. With the Persistent GenAI Hub, clients can embrace a “GenAI-First” strategy, delivering AI-powered applications and services at scale. They can  accelerate innovation while practicing responsible AI, leveraging pre-built accelerators and evaluation frameworks, and optimizing costs with a cross-LLM strategy. The GenAI Hub enables enterprises to streamline operations, enhance customer experiences, and identify new avenues for growth.”

Mark Troller, CIO, Tangoe:

“Tangoe has been leading the industry in automation for more than a decade, and with Persistent’s expertise and support, we have developed a secure generative AI chatbot that empowers employees to drive higher efficiency in their daily work. This collaboration has not only opened new doors for innovation but also sharpened our competitive edge. We’ve seen strong early adoption from our employees and look forward to building more advanced
capabilities using this emerging technology.”

Thomas Reuner, Executive Research Leader and Head of EMEA, HFS Research:

“We are seeing a shift in the market as organizations look to scale out their GenAI deployments. A pause of reflection often follows this shift as they encounter new deployment challenges and  risks. Persistent’s GenAI Hub provides both an evaluation framework to validate the AI approach and a comprehensive set of capabilities to accelerate the time to value to help  organizations navigate those challenges.”

news

Skyflow Raises $30 Million led by Khosla Ventures for Data Privacy in AI and Global Data Residency

Mar 29, 2024 by Gayathri Pariti 0 Comments #Khosla Ventures, #Large Language Models, #Skyflow, #Vinod Khosla

Skyflow, the data privacy vault company, has raised $30 million to extend its Series B funding. Khosla Ventures led the round, joined by prior investors Mouro Capital, Foundation Capital and Canvas Ventures. The investment follows revenue growth of more than 210% and quick adoption in the emerging market of sensitive data protection for Large Language Models (LLMs).

Skyflow_Funding

Skyflow is a data privacy vault built to radically simplify how companies isolate, protect, and govern their customers’ most sensitive data. With its global network of data privacy vaults, it is a comprehensive solution for companies looking to securely implement LLMs and meet complex data localization requirements. Skyflow supports nearly a billion records of user data for global customers like GoodRx, Lenovo, and Hippocratic AI, and processes more than two billion API calls quarterly.

“With the advent of enterprise applications powered by AI, the need for trust and privacy infrastructure is key to protecting sensitive data,” said Vinod Khosla, founder of Khosla Ventures. “Skyflow is rethinking how data can be managed and protected across any app, cloud or LLM, making it a company that will be vital for every enterprise business.”

“We see an urgent need for companies to make privacy a core part of their technology stack as LLMs and AI hurdle forward, ingesting more and more personal data,” said Anshu Sharma, co-founder and CEO of Skyflow. “Skyflow is the only solution that allows companies to build privacy by design into their technological infrastructure without overhauling anything – anywhere in the world.”

Skyflow is powered by a proprietary technology called polymorphic encryption, which is the only way of encrypting data on the market that makes it possible to protect data without sacrificing its usability for critical business operations, such as analytics, marketing, and customer support.

Data Privacy and Security is the #1 Barrier to Enterprise Adoption of Generative AI

LLM adoption is increasing across the market even though there are few data protection mechanisms in place, putting compliance, security, and privacy at risk. Once sensitive data enters a model it’s almost impossible to remove, which means something like a data deletion request – which many new privacy laws require companies to be able to execute – becomes much more difficult.

Skyflow acts as a privacy trust layer, helping companies prevent sensitive data from going into AI models in the first place. This makes the adoption of generative AI simpler and safer. Skyflow customers can define sensitive terms as they see fit, allowing them to protect sensitive information even beyond PII (Personally Identifiable Information) or company intellectual property.

Skyflow Now Offers Data Residency in China

Skyflow recently expanded its data residency solution to support China, enabling global companies to scale in Asia without significant changes to their technology stacks. This simplifies compliance with China’s most stringent data privacy and security regulations: Personal Information Protection Law (PIPL) and Cybersecurity Law (CSL).

Skyflow’s global data privacy vault infrastructure covers regional and national data localization requirements for more than 150+ countries already, allowing customers to isolate, protect, govern, and localize sensitive data easily wherever they operate.