Executive Tutorial
Activating Citizen Data Scientists for Non-Technical Teams
Use the unstructured data and resources you already have with no-code/low-code AI
Executive Tutorial
Virtual + Recorded
Grow share of wallet. Increase customer retention. Deliver an optimized journey. Drive qualified leads. Moderate, measure and amplify the brand. Know thy customer.
Tangible business outcomes with AI.
If you’re a functional leader frustrated with your team’s technical limitation to apply AI/ML solutions to your strategy, you’re not alone.
In the current economic climate, business leaders must focus on digital transformation through AI that delivers tangible business outcomes to maintain relevance and show value.
Demand for ML Ops and Data Analysts is surging.
If your team’s project isn’t first in line, why not Do It Yourself?
Data analytics experts Pienso and AI cloud compute specialists Graphcore can take on the heavy lifting, meaning you can get started without hiring a team of AI engineers.
What you will learn in this Executive Tutorial:
What’s a Citizen Data Scientist?
A business user who creates or generates models that use predictive or prescriptive analytics and AI, but whose primary job function is outside the field of analytics or machine learning.
Gartner recently published a report advising C-suite executives and their teams to appoint Citizen Data Scientists and encouraging Chief Data Officers to support, not fight, these efforts. Find out how to get started and get your data science or AI innovation team to support you.
Where to start a DIY AI/ML project?
Launch a fixed-cost, cloud-based no-code/low-code AI/ML pilot that analyzes that treasure trove of text data you know holds answers to some long-asked questions. Structured or Unstructured, or both. Get to grips with the real business outcomes you could be delivering.
What’s Structured vs Unstructured data?
Structured data exists in a pre-defined format and is typically easiest to manipulate. Unstructured data exists in its native format and consists of a varied mix of formats. Structured data can typically be used by the average business user, but unstructured data usually requires data science expertise in order to derive accurate business intelligence. Until now. Learn what you can do.
This executive tutorial is for Chief Marketing Officers and their teams responsible for:
- CRM data including unstructured content like call comments logged by Sales
- Product reviews collected through your website or an aggregator
- Survey responses
And for Chief Customer Officers and their teams responsible for:
- Call Center transcripts
- Customer Success chat logs
- Survey responses
Ready to learn more?
Attend Activating Citizen Data Scientists for Non-Technical Teams or send a delegate from your team.
Tip: Send the person who typically manages the data you have in mind, too.
Think: CRM or Marketing Ops, Customer Insights Manager, etc.
Meet the Speakers
Meet the speakers
Ellie Dobson
VP Product Cloud Graphcore
Ellie Dobson has 15 years' experience building data-driven solutions in engineering organisations. She is the VP Product, Cloud at Graphcore supporting the company's mission to drive new breakthroughs in machine intelligence with innovative AI systems and services.
Ellie is a particle physicist by training, having worked as part of the Higgs discovery team at CERN. She has worked for the past decade for software companies in variety of industries, but with the focus on the application of advanced analytics and digitalisation to engineering disciplines.
Meet the speaker
KARTHIK DINAKAR, CTO PIENSO
Karthik Dinakar is a computer scientist specializing in machine learning, natural language processing, and human-computer interaction. He is the Chief Technology Officer and co-founder of Pienso Inc, an interactive deep learning company.
Prior to founding Pienso, Karthik held positions at Microsoft and Deutsche Bank. A Reid Hoffman Fellow at Massachusetts Institute of Technology and the recipient of the 2015 Dewey Winburne Award, Karthik holds a doctoral degree from Massachusetts Institute of Technology. Among other awards and publication, his research garnered two invitations to present at the White House, on the computational detection of cyberbullying and the use of probabilistic graphical Bayesian models for crisis counseling.
Karthik is a passionate advocate for empathetic design; believing that as AI reveals our biases, it unlocks opportunity to intentionally address them, at scale.