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deepak

Mining AI
Mining AI and ML: How the Pharma Industry has leveraged Automation to Give Rise to Value-based Healthcare?
Mining AI and ML: How the Pharma Industry has leveraged Automation to Give Rise to Value-based Healthcare? 1024 550 deepak

Artificial Intelligence (AI) and Machine Learning (ML) in Pharma: Background In recent years, technological, regulatory, and environmental changes along with supply chain imbalances have put a tremendous pressure on stakeholders to initiate automation in the life sciences industry globally. The application of AI and machine learning methods has produced demonstrable results in financial and manufacturing…

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Adoption Of Snowflake
Adoption of Snowflake in the Pharmaceutical Industry: A Brief Introduction
Adoption of Snowflake in the Pharmaceutical Industry: A Brief Introduction 1024 426 deepak

Cloud-based Data Warehousing in Life Sciences: A Background Traditionally, cloud-based data warehousing technologies presented significant value in healthcare by giving medical service providers a platform to wirelessly collect data for storage, computation, accessibility and sharing. Medical device manufacturers and healthcare providers also offered big data management services to clients without relying on traditional computing databases.…

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SI_Blog
Monitoring Development Milestones of Competitors in Pharma: A Brief Study
Monitoring Development Milestones of Competitors in Pharma: A Brief Study 1024 406 deepak

Competitor Monitoring in Pharma: Background The pharmaceutical organizations are facing a double whammy since the need for rapid innovation has been fuelled by evolving treatment landscapes and patient needs, and patent expiry for approved drugs. The need to keep the pipeline rich and strong has driven fierce competition in the industry. This in turn requires…

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Predictive_analytics
Advanced Predictive Analytics: Driving Operational Efficiency across Pharma Processes
Advanced Predictive Analytics: Driving Operational Efficiency across Pharma Processes 1024 576 deepak

Post-pandemic Pharma Landscape: Toward Agile Data-driven Efficiency The pharmaceutical industry is facing growing competition with increasing pricing pressures and strict regulations. Evolving drug regulatory landscape and supply disruptions caused by the pandemic cast a shadow on operations. Such challenges have been instrumental in keeping businesses on their toes. To reduce their costs and increase profitability,…

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Adoption Of Big Data Repositories In Pharma
Cloud-based Enterprise Data Warehousing: A Comparison of Snowflake vs Amazon Redshift vs Azure Synapse
Cloud-based Enterprise Data Warehousing: A Comparison of Snowflake vs Amazon Redshift vs Azure Synapse 1024 683 deepak

Adoption of Big Data Repositories in Pharma: Background The use of big data in drug research stemmed from more efficient data access and more secure data repositories for biopharma companies. Historically, data management systems and warehouses were based on heavily structured paradigms that assumed the data was being captured for specific questions. But with a…

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Cloud Based
Snowflake: How the Cloud-agnostic Data Warehouse Solution is Winning the Race in Data Management?
Snowflake: How the Cloud-agnostic Data Warehouse Solution is Winning the Race in Data Management? 1024 683 deepak

Traditional Data Warehouses and Cloud Deployments: Background Traditionally, data warehouses consolidated business data from in-house applications and databases along with SaaS (Software as a Service) platforms to serve a single repository for an organization to consult and make decisions regarding data and business intelligence. Data warehouses enabled analytics reporting and analytical processing that transactional databases…

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Impact Of New Technologies In Pharma
Understanding the Impact of New Technologies in Pharma CI Data Journeys: Reversing Traditional Challenges
Understanding the Impact of New Technologies in Pharma CI Data Journeys: Reversing Traditional Challenges 1024 680 deepak

Background: Traditional Data Journeys in Pharma CI Drug companies are constantly driven by the need to innovate, discover drugs, and market them seamlessly globally. With average drug life cycles spanning two decades, right from the drug development, approval and commercialization, commercial competitive intelligence (CI) poses unique challenges. Traditional CI research includes practices such as wargaming,…

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Pharma CI Team Structures Impacts
How Pharma CI Team Structures impacts the Choice of CI Platforms?
How Pharma CI Team Structures impacts the Choice of CI Platforms? 1024 683 deepak

Background to CI Platforms and Team Structure in Pharma Historically, strategy teams must deal with unfathomable amount of data and it’s not just a competitive intelligence (CI) platform that does the trick in processing the data for insights. The structure of CI teams is also very crucial here in the way data is managed. The…

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Big Data Challenges
Are Big Data Challenges hampering Pharma’s Innovation efforts?
Are Big Data Challenges hampering Pharma’s Innovation efforts? 1024 683 deepak

Background Advanced analytics in the pharmaceutical and life sciences industry can potentially transform commercial functions and drug distribution. But pharmaceutical majors still rely on traditional data warehouse solutions offered by mainstream technology and consulting firms. The traditional data management solutions for the life sciences market have seen an explosive growth in the past couple of…

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Artificial Intelligence (AI) Powered Platforms
How Artificial Intelligence (AI)-powered Platforms can drive higher returns in Pharma Competitive Intelligence (CI)
How Artificial Intelligence (AI)-powered Platforms can drive higher returns in Pharma Competitive Intelligence (CI) 1024 683 deepak

Background to AI implementation and Use in Pharma Pharma companies have traditionally leveraged artificial intelligence (AI) and machine learning for drug manufacturing, R&D processes in drug discovery and clinical trials. According to the Mckinsey Global Institute, AI, and machine learning in the MedTech and biopharma domain could generate nearly $100 billion revenue annually in the…

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