Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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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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Spekit
Spekit is the modern sales enablement platform that unifies sales content and learning, and enables your reps in their flow of work with AI Sidekick, the most contextual Just-in-Time Sales Assistant™.
AI Sidekick uses contextual AI agents (leveraging CRM, call intelligence, Gong, email information, etc.) to understand reps’ precise needs, and then surfaces personalized coaching, messaging support, answers, and learning. By enabling them in the flow of work™, AI Sidekick helps reps effortlessly prepare for calls, follow up, or create tailored deal rooms and buyer experiences, leading to better, faster deal execution, stronger buyer relationships, and reduced ramp times.
This powerful Just-in-Time Enablement approach is backed by comprehensive sales content management capabilities that unite the best of DAP, KMS, CMS, and LMS features. With a robust repository, AI editing and governance features, and a built-in change management solution, enablement and marketing teams can effortlessly combat content decay and ensure consistent messaging. Beyond AI-powered content automation and delivery, Spekit provides granular analytics on content consumption and buyer engagement to optimize strategy and revenue attribution.
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isolved
isolved is the most-trusted HCM technology leader, providing the best combination of software and services to meet the needs of today’s People Heroes – HR, payroll, and benefits professionals. isolved People Cloud, our intelligently connected platform, automates the entire employee experience by design, so that organizations can engage, empower, and energize their talent while freeing their People Heroes to exceed their goals and grow their careers.
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