IA Life Sciences: Applying lessons learned

Three past guests from the AIIA podcast spoke at IA for Life Sciences last year. 

Let's take a look at three sessions that were of particular interest:

• CASE STUDY: HOW TO SUCCESSFULLY IMPLEMENT IA TECHNOLOGIES INTO YOUR OPERATIONS & REMAIN REGULATORY COMPLIANT
  • Anil Bhavnani, Director – BPO Operations, Global Financial Solutions - Shared Services, GFS office in India, Pfizer
• CASE STUDY: A ROADMAP TO ESTABLISH A SUCCESSFUL IA CENTER OF EXCELLENCE (CoE)
  • Matt Gustitus, Director, Automation – CoE, Eli Lilly and Company
• HOW TO EFFECTIVELY COLLABORATE WITH YOUR IT DEPARTMENTS TO DEVELOP SECURE IA DATA SECURITY STRATEGIES
  • Tyrone Grandison, PhD. Executive Director & Former Deputy Chief Data Officer The Data-Driven Institute & U.S. Dept. of Commerce

And let's take a look at the each person's AIIA podcast episode along with a key takeaway:

External insight informing vs. driving strategy

Episode 89: Matt Gustitus, Eli Lily

"We had that consulting company come in- they helped us kind of get things started and that was very helpful. But really, the challenge was, as we kinda look back, it's you know, does everything exactly work the way that we expected it to work? Every company functions differently. So, it's really hard to pull that together and come up with a game plan that you're gonna be able to execute when it's something brand new to you."

Consultants know what's happening out there. They know what's working and what's not working. They know the newest technologies and processes being used. And they know how generalized C-Suites are changing their mindsets. But traditionally, consultants that know all of that, don't know how your enterprise will best work. Make decisions based on your knowledge of your enterprise. Let those consultants knowledge of the marketplace inform your decisions, not drive them.

Overcoming the change challenge

Ep. 114: Anil Bhavnani, Pfizer

“At one point in time, we were just kind of doing a very rule-set based kind of process. And here we are changing the entire process. We are automating it. So obviously a lot of people get impacted. You have to work with multiple stakeholders to be able to manage that change. I think that's where the challenge is.”

Within the life sciences sector, there are many moving parts with little room for error. Within the sector, automation is saving lives through the accuracy and timesaving processes it deploys. And so in life sciences, automation change management is a life and death methodology.

Personal data prescience

Ep. 42: Tyrone Grandison, Eisenhower Fellow

"You're signing everything away. You're also giving a lot of control over to companies that use the data that's generated about you and the data you enter about yourself as their intellectual property, as their assets."

[The following analysis was originally posted 2/21/19.] This comment may still be ahead of its time. But as we make our way more fully into 2019 in search of business models in the industrial revolution- one wonders how long personal data can be ignored as an actual currency. Funnel it through blockchain technology and you’ve got the makings of a truly disruptive model.