Everest Group

MARCH 7, 2025

gigatons of CO emissions annually by 2035. Exhibit 1 While AI models are becoming more efficient, surging demand offsets sustainability gains, ensuring that AIs carbon footprint continues to grow. Whos responsible: Tech providers What can be done: Shift to renewable-powered data centers Invest in energy-efficient AI architectures (e.g.,

Regulations 130

Regulations Co-Sourcing Manufacturing Government 130

Amzur

AUGUST 29, 2024

According to a CISCO report , by 2035, AI technologies are projected to increase business productivity by up to 40%. Each department uses its own software systems, leading to fragmented data that cannot be easily integrated and maintained for AI analysis.

Government 105

Government Engineering Collaborations Out-Tasking 105

Mattsen Kumar

OCTOBER 1, 2024

Advanced algorithms balance supply and demand in real-time, leading to more efficient energy use and reduced waste. AI-powered energy management systems have the potential to achieve a 20% growth in energy efficiency by the year 2035. AI systems streamline billing processes, ensuring accuracy and transparency.

Streamline Operations 52

Streamline Operations Customer Service Efficiency Operational Costs 52

Amzur

AUGUST 29, 2024

According to a CISCO report , by 2035, AI technologies are projected to increase business productivity by up to 40%. Each department uses its own software systems, leading to fragmented data that cannot be easily integrated and maintained for AI analysis.

Government 52

Government Engineering Collaborations Out-Tasking 52