Don't miss out ‼ Chain of Thought LLM Prompting is one of the hottest topics today in generative AI. Join our webinar this Wednesday to learn how to use it to enhance enterprise LLM apps across various use cases. 👉 https://lnkd.in/dWHu8vWX We'll showcase how K2view uses chain-of-thought LLM prompting in a RAG framework to optimize customer service operations. See you online!
About us
At K2view, we believe that every enterprise should be able to use its data to become as disruptive and agile as the best companies in its industry. Our Data Product Platform provides a trusted, holistic, and real-time view of anything important to the business - whether it's customers, suppliers, employees, orders, loans, or patients. This one platform fuels many use cases, including GenAI, Customer 360, test data management, data privacy, cloud migration, legacy application modernization, and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. K2view Data Product Platform deploys in weeks, scales linearly, and adapts to change on the fly. It supports modern data architectures – data mesh, data fabric, and data hub – in cloud, on-premise, or hybrid environments. The most data-intensive, forward-looking companies, rely on K2view Data Product Platform, including AT&T, American Express, Verizon, Sun Life, and Vodafone.
- Website
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http://www.k2view.com
External link for K2view
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Yokneam
- Type
- Privately Held
- Founded
- 2009
- Specialties
- Customer 360, Data Masking, Test Data Management, Data Tokenization, Synthetic Data Generation, Data Migration, and Legacy Application Modernization
Products
K2View Data Product Platform
Data Extraction Software
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking, data tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
Locations
Employees at K2view
Updates
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🗓 20 weeks in, Simon McVeigh shares his K2view adventure to date. Data, AI, and a great team!
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McKinsey & Company just released a fascinating report on generative AI's economic impact. We've pulled some eye-opening data points to share take a look👀
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What's Chain of Thought Prompting and why should you care? Join our webinar to learn about Chain-of-Thought Prompting, and how it enhances enterprise LLM apps across various use cases. Register here: https://lnkd.in/dzKkuVih We'll showcase how K2view uses chain-of-thought prompting in a RAG framework to optimize customer service operations. See you online!
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Last week #theravitshow discussed the GenAI data gap, where many organizations struggle to integrate LLMs with trusted, fresh data housed within your enterprise systems. K2view offers a unique approach that powers up your LLMs to generate responses users can rely on. read the full post here https://lnkd.in/dhFtwWsX
Founder & Host of "The Ravit Show" | LinkedIn Top Voice | Startups Advisor | Gartner Ambassador | Evangelist | Data & AI Community Builder | Influencer Marketing B2B | Marketing & Media
Retrieval-Augmented Generation (RAG) is a game-changer for GenAI. By integrating LLMs with trusted internal data sources, RAG generates responses users can rely on. But many organizations tap into just a fraction of this power, focusing on public data, unstructured documents, or historical information. The real value lies in the “GenAI data gap”, the fresh data housed within your enterprise systems. How can you power up LLMs with enterprise data, in a way that is: - Secured and compliant - Provides conversational latency - Uses right-now-data - Can run at scale and be cost-effective And can assure grounded, reliable, and personalized answers from LLMs? Learn more about overcoming the GenAI data gap in the K2view blog post -- https://lnkd.in/ga_9adYv #data #ai #rag #k2view #theravitshow
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Funny GPT hallucinations anyone? Share yours in the comments! #chatgpthallucinations
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⚠ Data lakes may be hazardous to your GenAI health. Snowflake's recent data lake leaks have stirred much concern across banks, telcos, and healthcare companies. Many organizations are trying to leverage their data lakes for GenAI apps. Given that security and privacy are the #1 obstacle for enterprise GenAI - are data lakes a good fit here? Absolutely NOT, and here's why... https://lnkd.in/eYJmgW9D #datalakewarning #GenAI
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A warm welcome to our new senior sales engineer, David Sutka! Fun Fact: While David is a dedicated fan of the Boston Red Sox, Boston Celtics, Boston Bruins, and New England Patriots, he spends MOST of his free time taking care of his 4 kids and 1 dog. His 2 cats take care of themselves! Wishing David smooth "salesing" at K2view ⛵
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🤖 Missed our AI-powered Test Data Management demo? No problem! Check out some highlights from our live demo to see how K2view is revolutionizing software testing: ✅ AI-powered PII discovery and masking in action ✅ Instant test data on demand – see how easy it is to speed up releases ✅ Compliant, AI-generated synthetic data that looks and acts real Watch the full demo now to discover how K2view AI can transform your test data processes 👇 https://lnkd.in/eQJGwG_c #TestDataManagement, #AI, #SoftwareTesting, #DataCompliance