Challenges and success stories

Understanding Artificial Intelligence

Maarten Van den Broeck

Senior Content Developer at DataCamp

Challenges

8 elements for an AI-driven organization

Challenges to build an AI-driven organization

Resources: people, infrastructure, budget

Resources as a challenge

Challenges

8 elements for an AI-driven organization

Challenges to build an AI-driven organization

Data: availability, quality, governance, privacy

Data as a challenge

Challenges

8 elements for an AI-driven organization

Challenges to build an AI-driven organization

Culture: rigid mindset, siloed operations

Culture as a challenge

Challenges

8 elements for an AI-driven organization

Challenges to build an AI-driven organization

Awareness: "Why AI is critical to the business?"

Awareness as a challenge

Success stories: Google

Challenge:

Data quality and accessibility issues

Solution:

Data governance frameworks and data integration strategies, to leverage large volumes of data effectively

Google office

Success stories: Airbnb

Challenge:

Talent needed to become AI-driven

Solution:

Talent acquisition and talent development through upskill training in AI and ML

Airbnb success story

Success stories: IBM

Challenge:

Address ethical and regulatory AI issues

Solution:

AI Ethics Board for responsible AI, guidelines to mitigate algorithmic bias, engagement with policymakers

IBM logo

Success stories: Netflix

Challenge:

Large-scale computing infrastructure needed

Solution:

Cloud infrastructure investments, AI tools for recommendation, data processing workflows

Netflix app

Let's practice!

Understanding Artificial Intelligence