Don’t fear AI. It will lead to long-term job growth.

  • “By 2030, AI will lead to an estimated $15.7 trillion, or 26% increase, in global GDP, based on PwC’s Global Artificial Intelligence Study.
  • In its “Future of Jobs Report 2020,” the World Economic Forum estimates that 85 million jobs will be displaced while 97 million new jobs will be created across 26 countries by 2025.
  • In the next few years, 3% of jobs will be potentially automated by AI, according to PwC’s report ‘Will robots really steal our jobs?’”

Will automation eliminate data science positions?

  • “The most important question in data science is not which machine learning algorithm to choose or even how to clean your data. It is the questions you need to ask before even one line of code is written: What data do you choose and what questions do you choose to ask of that data?
  • So while parts of core machine learning are automated (in fact, we even teach some of the ways to automate those workflows), the data munging, data cleaning and feature engineering (which comprises 90% of the real work in data science) cannot be safely automated away.”

Will automation eliminate data science positions?

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Parabola no-code platform raises $8M Series A as it focuses on eCommerce

“Company founder and CEO Alex Yaseen sees the tool as a way to bring programming-like automation to anyone who deals with data tasks on a regular basis, particularly in a spreadsheet. “We’re a drag and drop productivity tool, and we like to say we bring the power of programming to everybody,” Yaseen told TechCrunch.”

Image Credits: Melpomenem / Getty Images

Relationship banking in the age of AI and automation

“No matter whether they use digital channels or visit a branch, all customers want the same thing: a personalized and convenient banking experience.

AI and machine learning that analyzes customer behavior and provides personalized products and services can change how you interact with customers.

Download this white paper to learn how to:

– Balance your high-tech offerings with the human touch
– Generate more customer loyalty
– Leverage a human-machine model that frees up employees to focus on customer engagement
– Measure the ROI of your digital processes”

Can AI Help Us Build a More Resilient Economy in the Face of COVID-19?

“Phase 1: The Exchange of Data for Automation – First, we will exchange data for automation by providing digital records of our work as training data for the AI to learn and mimic how we do our work.

Phase 2: Teaching the AI to Refine Its Model of How We Work – Once we have AI that is good enough to help us, we move to collaboration. We let AI attempt to replicate our work, and we judge to see if it’s able to match our quality.

Phase 3: Full AI Automation and Job Shift – Likewise, the complete automation of our work by AI means that our jobs will shift. This will shift the nature of our work to something more important and more strategic. It will also shift our work towards tasks that require more human empathy”