Change is the Only Constant with Omar Khawaja, Global Head BI Roche Diagnostics at Roche
Oct 5, 2021
auto_awesome
Global Head BI Roche Diagnostics discusses healthcare and big data, decentralized data balance, future of data sharing. Roche's role in diagnostics, personalized medicine, COVID-19 response. Leadership, collaboration, cloud migration. Shift towards data mesh, decentralized ownership. Data sharing, future trends in data engineering. Team hobbies, travel desires post-pandemic.
Roche Diagnostics is leveraging the Snowflake platform for data sharing and a decentralized data mesh approach to drive advancements in personalized medicine and AI applications.
The shift to a cloud-first approach offers benefits such as seamless data sharing, enhanced collaboration, and the democratization of AI to enable informed decision-making in healthcare.
Deep dives
Roche Diagnostics: The Intersection of Healthcare and Big Data
Roche Diagnostics, the global leader in the pharmaceutical healthcare industry, is embracing the power of big data in revolutionizing the field of diagnostics. With a focus on in vitro diagnostics, Roche provides a wide range of tests and equipment for various disease areas. The company is leveraging modern technology, such as the cloud-based Snowflake platform, to enable data sharing within the organization and across the healthcare ecosystem. This data sharing not only improves collaboration and efficiency but also allows for timely insights and better patient outcomes. Roche is also undergoing a data transformation, adopting a decentralized, domain-oriented approach known as the data mesh. This approach empowers teams to take ownership of the data and create data products tailored to specific needs. With a data-driven approach, Roche is poised to drive advancements in personalized medicine, AI applications, and the use of unstructured data in healthcare.
Challenges and Opportunities in the Cloud and Data Analytics
As Roche Diagnostics embraces cloud technology, it faces challenges and opportunities in data management and analytics. By migrating to platforms like Snowflake, Roche can leverage the power of the data cloud to enable seamless data sharing, enhanced collaboration, and accelerated insights. The shift to a cloud-first approach requires a change in mindset, but offers immense benefits, including scalability, cost-effectiveness, and real-time data analysis. The decentralized nature of the data mesh brings both challenges and advantages, allowing for domain-oriented ownership of data and the ability to tailor data products to specific needs. Roche is also driving the democratization of AI, making it accessible to all users, including business professionals, to drive informed decision-making. Looking ahead, the future of data management and analytics will involve advanced analytics on unstructured data, increased interoperability between tools, and further integration of AI and text analytics.
Data Sharing: A Game-Changer in Healthcare
In the evolving landscape of healthcare, data sharing is becoming critically important. Roche Diagnostics recognizes the need to share data within its organization, between functional areas, and with external stakeholders, such as customers, suppliers, and research agencies. By leveraging data sharing capabilities, such as Snowflake's data cloud, Roche can eliminate data acquisition challenges, reduce duplication of data, and generate timely insights. The ability to access shared data in real-time empowers healthcare providers to make informed decisions and improves the overall patient experience. In the future, data sharing will become a norm, transforming the way businesses operate and collaborate. Co-opetition among companies and a shift towards a data product mindset will drive innovation and unlock the full potential of data in healthcare and beyond.
The Future of Data Management and Analytics
The future of data management and analytics holds tremendous possibilities. With advancements in technology and a focus on data democratization, AI and unstructured data will become commonplace in the analytics landscape. Organizations will shift towards an ecosystem of integrated tools, allowing seamless collaboration and efficiency. The data explosion will continue, requiring innovative approaches to handle structured and unstructured data effectively. Data sharing will be a norm, enabling faster insights, reducing dependencies on data acquisition, and fostering collaboration within ecosystems. In the next five years, Roche Diagnostics expects to see increased interoperability, industrialization of AI, and a stronger focus on self-service platforms. The impact of the data cloud will extend beyond the pharmaceutical industry, revolutionizing business practices and shaping a data-driven society.
In this episode, Omar Khawaja, Global Head BI Roche Diagnostics at Roche, discusses the intersection of healthcare and big data, how to handle the balance of centralized and decentralized data, the future of data sharing, and much more.
--------
How you approach data will define what’s possible for your organization. Data engineers, data scientists, application developers, and a host of other data professionals who depend on the Snowflake Data Cloud continue to thrive thanks to a decade of technology breakthroughs. But that journey is only the beginning.
Attend Snowflake Summit 2023 in Las Vegas June 26-29 to learn how to access, build, and monetize data, tools, models, and applications in ways that were previously unimaginable. Enable seamless alignment and collaboration across these crucial functions in the Data Cloud to transform nearly every aspect of your organization. Learn more and register at www.snowflake.com/summit
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode