What Is “Data Literacy” And Why is it Important to Your Business?
In the Age of AI, data is the common language of business. Achieving data literacy in your organization is a key to success and requires a shared mindset, language, and skills.
Data literacy — the ability to read, write, and communicate data in context — is fast becoming a requirement for all employees in forward-looking organizations.
IDC, a global provider of market intelligence, forecasts a ten-fold increase in worldwide data by 2025. Increasingly, data-driven organizations will produce data-literate employees who contribute more to their roles and help businesses sharpen their competitive edge in an aggressive global economy.
In the current environment where AI and Generative AI tools can be key to getting a leg up on the competition, company leaders should prioritize data literacy for employees across departments and at all levels within their organization.
A data literacy program should start with a shared mindset, language, and skills, said Valerie Logan, CEO and founder of consultancy The Data Lodge. “It’s an intentional commitment to upskilling your workforce and culture” and an opportunity to grow and amplify an understanding of artificial intelligence in the organization, she said.
Speaking at the 2024 International Chief Data Officer and Information Quality Symposium, Logan and Veronica Vilski, content and engagement director at The Data Lodge, shared insights on what organizations can do today to help their employees become data literate.
The pair offered six steps to launching a successful data literacy program for any type of organization:
- Develop a clear, compelling case for change.
- Launch and sustain a practical program foundation with targeted pilots.
- Amplify and spotlight success stories.
- Connect, support, and inspire communities who might feel isolated.
- Leverage and connect data culture work and training resources across the organization.
- Deliver lasting data culture benefits.
A data literacy program is also a place to grow and amplify an understanding of artificial intelligence in an organization; Logan said, “If you have had a data literacy program in place and you have not included AI in the scope of it from the start, you did not know what you were solving for, and you missed the mark.”
How BigRio Helps Bring LLM and Advanced AI Solutions to All Markets
Like these two tech leaders at BigRio, we share their belief in the transformative impact that AI is having on all industries and how successful AI implementation goes hand in hand with data literacy.
To this end, we have launched an AI Studio specifically for US-based startups with GAI centricity. Our mission is to help AI startups scale and gear up to stay one step ahead of the pack and emerge as winners in their respective domains.
AI Startups face numerous challenges when it comes to demonstrating their value proposition, particularly when it comes to advanced AI solutions for pharma and healthcare. We have taken an award-winning and unique approach to incubating and facilitating startups that allow the R&D team and stakeholders to efficiently collaborate and craft the process to best suit actual ongoing needs, which leads to a faster, more accurate output.
We provide:
- Access to a top-level talent pool, including business executives, developers, data scientists, and data engineers.
- Assistance in the development and testing of the MVP, Prototypes, and POCs.
- Professional services for implementation and support of Pilot projects
- Sales and Marketing support and potential client introductions.
- Access to private capital sources.
BigRio has long been a facilitator and incubator in leveraging AI to improve healthcare delivery, originally in the field of diagnostics and research. We have recently been focusing our efforts on supporting startups and developing our own solutions that use LLMs and GAI to improve those areas of healthcare as well as in direct patient interactions and customer relationship management.
And we are delivering two Gen AI Workshops in September, 2024, one at Dallas and another in Boston:
and
You can read much more about how AI is redefining healthcare delivery and drug discovery in my new book
It’s a comprehensive look at how AI and machine learning are being used to improve healthcare delivery at every touchpoint.
