Thread by @anshuspandey

Gartner 's predictions for #Data & #Analytics for 2023: A Thread
1. By 2026, 5% of workers will routinely use AI
against their employer’s wishes to complete
tasks. -> In the current #chatGPT world, we are already seeing this happening.
#gartner #AI #DataAnalytics

2. By 2026, 20% of top #data science teams will
have rebranded as #Cognitive #Science
or Science consultancies, increasing
diversity in staff skills by 800%.
- Moving forward skills will become less tool-centric as platforms are innovating every day

Expect professionals from psychology, commerce, arts, and people management to join data teams.

3. By 2026, 50% of #BI tools will activate their
user’s metadata, offering insights and data
stories with recommended contextualized
journeys and actions
BI tools will become front runners of demanding data platforms by offering one-stop solutions.

#Trust is the foundation:
4. By 2027, 80% of enterprise marketers will
establish a dedicated content authenticity
function to combat misinformation and
fake material.
#ethicalAI #dataEthics #Analytics #future

5. By 2026, 20% of large enterprises will
use a single data and analytics
governance platform to unify and
automate discrete governance programs
-> data governance & tools management is becoming a challenge for enterprises, & companies offering this will lead the market.

6. By 2027, data science organizations will cut AI
technical debt by 70% by using simulation platforms & technologies to manage complexity of AI systems.
#dataScience #AIdebt

7. By 2026, 50% of organizations will have to evaluate analytics, BI & DSML platforms as a single and composable platform due to market convergence.
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