Web Knowledge Mining for Life Sciences

Research Studio

Navigating the growing knowledge landscape and stack of science literature is vital for innovation and R&D success – but near impossible to efficiently leverage with human power alone.

Systematic discovery of novel connections

Mine clinician-level evidence to repurpose and reposition assets, by auto-analyzing functional similarities and alternatives to existing assets, based on useful qualities of the asset’s properties.

Expedited innovation

Discover innovation-driven revenue streams from new, viable commercial applications for current products and services. Surface high-momentum concepts and pathways in a matter of hours, instead of months.

Fuel growth with AI-assisted acquisitions

Mine millions of open sources of knowledge to identify, screen, and enrich potential acquisition target data. Evaluate targets by reviewing relevant criteria and conduct initial risk assessment.

Comprehensive competitor analysis

Build a holistic competitive landscape that identifies top innovators, alternatives and producers; shows each competitor’s focus; and reveals investment trends.

For colon cancer, early detection is the magic cure

In the quest for novel medical treatments, AI-driven hypothesis generation, supported by clinical testing, is a dream come true for institutes worldwide. In the case of colon cancer, the answer wasn’t a better treatment, but an earlier one.

How SparkBeyond is powering a global response to COVID-19

The unfolding health and economic crisis of 2020 demanded bold action. SparkBeyond provided governments, communities, and health organizations a creative, holistic, and adaptive AI solution to tackle the pandemic with confidence.

S-001

S-002

Applications for Research Studio in Life sciences

Product Innovation

Augmented research into product development and diversification opportunities.

Repurposing

Explore untapped commercial opportunities by identifying new applications for existing assets.

Operational efficiency

Analyze operational management — supply chain, logistics, field — and determine new factors that affect performance.

Mergers & Acquisitions

Identify and evaluate candidates for acquisition or partnership at scale.

Horizon Scanning

Ongoing scanning of billions of data points to surface emerging patterns and insights.

Read on

No items found.

Read on

Generative AI for data analytics: the future of enterprise sense-making

In the case of enterprise data analytics, generative AI will radically change the way we interrogate our data to explore, react to and shape our business realities.

Generative AI for data analytics: the future of enterprise sense-making

New data models for a new world

Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?

The Game Changers: AI in Banking

AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.