Transformational Analytics in Pharmaceuticals

SparkBeyond Discovery

Global pharmaceutical leaders are using AI analytics to transform how medicine gets made, how to market it to the right consumer, and ultimately, how to improve and save lives.

Unlock R&D productivity

Streamline clinical trials – from design and recruitment, to monitoring and results, predict drug interactions, and target participants at scale with better data clustering.

Expand the drug discovery universe

Identify and aggregate thousands of structured/unstructured databases to speed up process, and expand range to often-excluded populations.

Reach patients & physicians with precision and accuracy

Granular insights and prescriber microsegments help increase uptake, reduce churn, and encourage technician, clinician, insurer buy-in with explainable results.

Give your sales reps better data

Increase sales rep performance – cross-sell and upsell – with instant access to physician data and patient outcomes, and chart full customer journey to design best marketing strategies.

Cross-sell and upsell

It’s more expensive to acquire a new customer than to increase the wallet share of an existing one. AI analytics help the best teams shape every customer conversation with the right message, offer, and level of service that resonates best.

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 SparkBeyond Discovery in Pharmaceuticals

Cross-sell and upsell

Use granular customer insights to accurately predict the most effective product or service.

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.

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.