A Data Lakehouse for R&D

A Data Lakehouse for R&D:
Accelerating drug discovery with access to
“right data” at the “right time”
~80% faster information retrieval | 10X improvement in response contextualization
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Challenge:

Scientists face significant challenges in understanding disease and drug targets due to the overwhelming volume of data they need to process, including patents, scientific publications, trial data, and internal documents. Extracting and summarizing this information is not only time-consuming and arduous but often results in incomplete or inaccurate insights.

Key questions include:

  • How can I quickly extract relevant information on diseases and drugs?
  • How can I gain actionable insights from historical experiment data?
  • How can I combine public domain data with proprietary datasets to uncover deeper connections?
  • How can I efficiently summarize knowledge from journals and internal documents?
  • Lastly, how can I achieve a longitudinal view of R&D to better inform decisions and strategy?
Addressing these challenges is critical for accelerating the pace of innovation and discovery in life sciences.

Solutions:

A data lakehouse built on tcgmcube comes powered with Gen-AI, semantic search, and knowledge graphs. The platform enables seamless analysis of unstructured data, such as text and images, to extract actionable knowledge. With Gen-AI-enabled intelligence, users can request and receive information in natural language, eliminating the need to write complex queries.

tcgmcube also incorporates a global knowledge graph developed over years of life sciences R&D expertise, delivering a deep understanding of medical context and intent. Information is structured within a robust ontology understood by scientists, the respective ontology and knowledge graph can be extended according to local client specific data enabling more contextual and intuitive responses.

The platform also supports multiple user interfaces for data dissemination, including Gen-AI, traditional AI, BI tools, knowledge graphs, and low-code front-ends, offering flexibility and adaptability.
A data lakehouse for R&D powered with a semantic layer, Gen-AI capabilities and Knowledge Graphs
Information requested and received in natural language
Provides contextual responses that is easy to use, understand & interpret
Information structured in an ontology that is understood by the scientist
Adherence to FAIR principles
Multiple user interfaces for
data dissemination

Proven Value Adds

80% faster information retrieval

10X improvement in response contextualization

TRANSFORM YOUR DATA INTO YOUR STRATEGIC ASSET

Transform your data into your strategic asset with

tcgmcube™ – powered Data Lakehouse
The AI & analytics foundation for all data types   I   Powerful semantics for better contextualization
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Why Modern Enterprises Need a Data Lakehouse

In the era of big data, advanced analytics, and AI, the need for efficient data management systems becomes critical. Traditional data warehousing and data lake architectures have their limitations, particularly in navigating through diverse and voluminous datasets, making it extremely difficult for users to get to relevant, contextualized data. There are challenges around data accessibility and data integrity, as well as significant collaboration bottlenecks.
The data lakehouse, which integrates the best features of both data lakes and data warehouses and adds a semantic layer for contextualization, emerges as a compelling solution. The data lakehouse enables dashboarding, traditional AI, generative AI, and AI-based applications on accessible and transparent data.

Leveraging our end-to-end AI platform, tcgmcube, organizations can create robust data lakehouses, with the aim to streamline data management by integrating various data processing and analytics needs into one architecture. This approach helps avoid redundancies and inconsistencies in data, accelerates analysis throughput, and minimizes costs, helping enterprises unlock the full potential of their data ecosystems with AI-driven insights and unified governance.

Why Modern Enterprises Need a Data Lakehouse

In the era of big data, advanced analytics, and AI, the need for efficient data management systems becomes critical. Traditional data warehousing and data lake architectures have their limitations, particularly in navigating through diverse and voluminous datasets, making it extremely difficult for users to get to relevant, contextualized data. There are challenges around data accessibility and data integrity, as well as significant collaboration bottlenecks.

The data lakehouse, which integrates the best features of both data lakes and data warehouses and adds a semantic layer for contextualization, emerges as a compelling solution. The data lakehouse enables dashboarding, traditional AI, generative AI, and AI-based applications on accessible and transparent data.

Leveraging our end-to-end AI platform, tcgmcube, organizations can create robust data lakehouses, with the aim to streamline data management by integrating various data processing and analytics needs into one architecture. This approach helps avoid redundancies and inconsistencies in data, accelerates analysis throughput, and minimizes costs, helping enterprises unlock the full potential of their data ecosystems with AI-driven insights and unified governance.

Key Benefits

Presents a transformative approach to data management and helps foster a data-driven culture across the organization.

Improved Data Accessibility:

Facilitates actionable insights and analytics by ensuring that users have easy access to the right data at the right time through the right user interface.

Seamless Collaboration:

Enables teams to work together more effectively by providing a shared view of data across the organization.

Enhanced Analysis Integrity:

Enhances analysis integrity with better data management practices, version control, and semantic consistencies.

Core components of a holistic data lakehouse strategy

Comprehensive Architecture

  • AI capabilities and data management on the same platform managed by common platform services
  • Distributed, fault-tolerant, and cloud-native architecture
  • Cloud-agnostic platform that can make native cloud calls
  • Highly Interoperable – complement existing ecosystems
  • Modular architecture- each module can scale dynamically

Features that make it “Easy to Get Data In”

  • Streamlined data ingestion with pre-built connectors to various source systems and instruments.
  • Support for both real-time and batch data ingestion, ensuring flexibility and efficiency.
  • Enhanced ingestion process by utilizing semantic definitions for better contextualization.
  • Cohesive and interconnected representation using knowledge graphs to integrate the data.

Features that make it “Easy to Get Data Out”

  • Business metadata management powered by knowledge graphs, providing ontology management and knowledge modeling capabilities.
  • Adherence to FAIR (Findable, Accessible, Interoperable, and Reusable) data principles
  • Enhanced data understanding and usability through rich domain-context powered by Knowledge graphs.
  • Use of contextualized semantic business terms for analytics, enabling efficient querying in natural language and easy interpretation of contextual responses.

tcgmcube: taking the Data Lakehouse to the next level

The platform tcgmcube provides advanced analytics and AI capabilities and data management on the same platform managed by common platform services. This makes it an extremely powerful platform for implementing the lakehouse and deploying analytical and AI applications on top of the lakehouse.

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Spotlight on tcgmcube

Most IT and business leaders are traversing the maturity path of leveraging data to its fullest potential, and in that process they have envisioned a fully automated and governed data platform for their enterprise —one that provides a single version of the truth, is scalable, seamlessly integrates with existing infrastructure, and builds a strong foundation for AI capabilities on top.

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TCG Digital Partners with Oracle

TCG Digital Partners with Oracle
Powering Next-Gen Lakehouse Analytics on Oracle Cloud Infrastructure
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Leverage tcgmcubeTM to deliver mission critical Lakehouse scale analytics on Oracle Cloud Infrastructure

We are happy to announce that TCG Digital joins hands with Oracle as a cloud build partner. As an innovation-led complex problem-solving team, we are proud to announce this partnership with one of the world’s leading and most iconic technology companies. This will bring unmatched benefits to our esteemed customers.

Now you can run tcgmcube to deliver mission critical Lakehouse scale analytics on OCI leveraging Oracle Autonomous or HeatWave and get faster insights from all your data. tcgmcube can be deployed in a OCI cluster and leverage Oracle Kubernetes with self-managed nodes to deploy your AI workloads significantly improving efficiency by granting shared access to expensive and often limited GPU resources.

This marks a significant milestone in TCG Digital’s
remarkable journey of growth and success!

tcgmcube is TCG Digital’s flagship Data, AI and Analytics platform. Built with a domain driven design at the cross-roads of industry knowledge and digital prowess, our architecture is designed to handle the most disparate data landscapes with AI 2.0 being at the heart of it combining powerful and advanced models to solve the most complex business problems. The platform integrates mcube.ai and mcube.data, delivering AI capabilities and data management seamlessly through unified platform services.

www.tcgdigital.com/tcg-mcube