DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Jiminny
Jiminny is a leading Conversation Intelligence platform designed to capture and analyze key go-to-market insights across video, voice, and email. Powered by AI, it automates data entry into your CRM, saving your team time and improving productivity. Jiminny enables revenue teams to focus on selling smarter, achieving faster growth, and closing more deals.
With its intuitive interface and actionable insights, Jiminny equips managers to effectively develop their teams and helps executives make confident, data-driven decisions. The platform delivers measurable ROI within six months, offering a seamless onboarding process and a user-friendly experience. Empower your business with Jiminny to transform conversation intelligence into a driver of revenue growth.
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Wipro Cloud Studio
The pressing need for organizations to hasten their Cloud adoption and achieve favorable business results is undeniable. Wipro’s Cloud Studio serves as a comprehensive marketplace that empowers clients to reimagine their cloud transformation journey and seamlessly transition to Cloud solutions. This is accomplished through a highly automated and standardized methodology that supports various approaches such as ‘lift and shift’, re-factoring, re-platforming, and establishing a Cloud-native and DevOps framework. The innovative phygital studio features engaging customer experience zones and collaborative spaces designed for brainstorming and developing cutting-edge solutions alongside hyperscalers, all within forward-thinking work environments. Utilizing a shared service model, Cloud Studio is crafted to be intelligent, scalable, and secure, ensuring it can deliver five times the speed of Cloud adoption, cut costs by 30%, and facilitate three times faster business acceptance for clients around the world. As a result, organizations can expect not only a rapid transition but also a significant enhancement in their operational efficiency and competitive positioning.
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Alation
The Alation Agentic Data Intelligence Platform is designed to transform how enterprises manage, govern, and use data for AI and analytics. It combines search, cataloging, governance, lineage, and analytics into one unified solution, turning metadata into actionable insights. AI-powered agents automate critical tasks like documentation, data quality monitoring, and product creation, freeing teams from repetitive manual work. Its Active Metadata Graph and workflow automation capabilities ensure that data remains accurate, consistent, and trustworthy across systems. With 120+ pre-built connectors, including integrations with AWS, Snowflake, Salesforce, and Databricks, Alation integrates seamlessly into enterprise ecosystems. The platform enables organizations to govern AI responsibly, ensuring compliance, transparency, and ethical use of data. Enterprises benefit from improved self-service analytics, faster data-driven decisions, and a stronger data culture. With industry leaders like Salesforce and 40% of the Fortune 100 relying on it, Alation is proven to help businesses unlock the value of their data.
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