A Data Intelligence Cloud for Life Sciences Industry Transformation Analytics

AI is rapidly transforming the life sciences industry by reshaping business operations, streamlining biopharma manufacturing and supply chain management, as well as enhancing everything from drug discovery and clinical trial data flow to self-healing supply chain applications and product intelligence.

It helps companies gain insights faster and with greater accuracy, ultimately leading to more effective treatments and therapies. Being able to understand the hundreds of data points from within the enterprise as well as publicly available data to analyze and model risk, price, and market potential is the prime catalyst for life science AI transformation projects.

Embracing these technologies successfully requires a strategic approach and alignment between IT and business objectives.

Why should life sciences industry professionals care about a data intelligence cloud?

While life sciences industry professionals are experts in their field, they are not usually comfortable with the rapid advancements in technology. So, having the ability for an average business executive to “converse” with a machine using natural language (NLP) to get the analytics they need to make better decisions, streamlining business operations to delivering unparalleled customer experiences and decreasing operational risk by inspecting hundreds of variables instantaneously identifying the potential to accelerate drug discovery, improve diagnostics, streamline clinical trials, and enable personalized medicine.

Modernization of legacy applications has become a “need to have” for life sciences organizations looking to maintain their competitive standing and operational profitability. Instead of continuing down the path of proprietary solutions that require dedicated tools and resources, many are now evaluating an data intelligence cloud solution that leverages new advancements in GenAI and reinforcement learning. Simply put, a data intelligence cloud is a cloud computing platform that leverages to power of GenAI to enhance its capabilities and transform data into usable information accessible by the average person, allowing them to harness their organization’s full potential by capturing and harnessing the right data, advanced analytics and AI capabilities. Simply put, it democratizes AI for "Citizen Data Scientists.”

The potential financial impact of AI across the life sciences industry is staggering. According to McKinsey Global Institute, it is “estimated that the technology could generate $60 billion to $110 billion a year in economic value for the pharma and medical-product industries, largely because it can boost productivity by accelerating the process of identifying compounds for possible new drugs, speeding their development and approval, and improving the way they are marketed.”

Improving outcomes and optimizing life sciences analytics

A successful AI transformation/data intelligence cloud project for life sciences industry operations and analytics will empower business leaders to get actionable insights in real-time while maintaining security and privacy and free data analysts to innovate instead of generating reports. Some of the specific use cases include:

• Accelerated Drug Discovery and Approvals: Use GenAI to automate target identification, streamline clinical trial design and patient recruitment as well as improved R&D data analysis/visualization and automated regulatory document creation and literature screening.
• Optimized Manufacturing and Delivery: Use GenAI to improve efficiency, reduce costs, and ensure the safety and quality of products across every phase of supply chain management.
• Enhanced Pharmacovigilance: Use GenAI to optimize safety monitoring and deliver on promise for personalized treatment plans based on individual patient characteristics and patient stratification for more effective and targeted therapies.
• Oversee Compliance and Regulatory Affairs: Use GenAI to monitor and manage compliance requirements, as well as identify potential issues early on, and ensure that regulatory and corporate governance standards are met.

New developments in open-source, zero-code SaaS platforms mean that legacy system modernization projects can be tackled with a data intelligence cloud that reduces dependencies on proprietary systems and the costs of dedicated tools and resources. So, the good news is that you won’t have to wait months or even years to realize the benefits of an intelligent cloud for your life sciences operations.

Deliver value in days or even minutes instead of months or years

Vendors like UBIX deliver on the promise of a zero-code, highly scalable and flexible cloud architecture that leverages the best-in-class cloud technologies to support modern data workloads, including analytics, AI, and ML. A perfect fit for any AI transformation or intelligent cloud project. With an architecture that is designed to adapt to the varying demands of large financial services enterprises, allowing them to scale up or down based on their specific requirements.

Learning how GenAI and emerging advancements like Reinforcement Learning can deliver on the promise of a data intelligence cloud for life sciences industry analytics has never been easier. Download our free eBook titled “Solving the Problem of Data and Decision Making” to help better understand the nuances of emerging AI concepts and technologies and offer a set of best practices for consideration to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–AI Readiness Workshop, you can contact one of our AI experts today.