AI Reshapes Revenue Strategy, Drives New Investor Demands, and Influences Future of Utilities
Enterprises Adopting AI-Powered Revenue Performance Software -- ISG
New research from Information Services Group (ISG) says enterprises will increase the use of AI in their revenue performance management (RPM) platforms over the next two years to expedite time-to-value and deploy more effective revenue performance plans.
The ISG Buyers Guides for Revenue Performance Management, produced by ISG Software Research, say initiatives that apply AI, including generative AI and machine learning (ML), to historic data can create new insights for both management and revenue-focused professionals.
According to Stephen Hurrell -- Director of Research, Office of Revenue at ISG Software Research -- ISG Software Research defines revenue performance management as the activities, processes and systems that enable organizations to plan, execute, monitor and make adjustments in real time to achieve customer, product and revenue targets across all revenue channels. The ISG Buyers Guides on RPM evaluate software products for their ability to support analytics and forecasting and manage incentives, opportunities, quotas, renewals, territories and variable compensation plans.
Investors Reject Trade-off Between Workers and AI, as over 70% Urge Companies to Invest in Both -- PwC
The pressure is on for companies to turn AI investment into impact, according to PwC’s 2024 Global Investor Survey, released today. 73% of investors say companies should deploy AI solutions at scale, as overwhelmingly 66% expect the companies they invest in to deliver productivity increases from AI over the next 12 months, with 63% expecting revenue increases and 62% expecting it to increase profitability.
The survey, which captures the views of 345 investors and analysts across 24 countries and territories, finds that investors see technological change as the most significant driver of change for the businesses they invest in (71%), ahead of government regulation (64%), changes in customer preference (61%), and supply chain instability (60%).
Almost three-quarters (74%) of respondents urge the businesses they invest in or cover to invest in upskilling their workforce. 32% expect AI to lead to headcount increases of 5% or more – on par with the proportion who expect little to no change in headcount (31%).
The sentiment appears to be tied to other ESG priorities, with 73% demanding a level of detail in assurance reports on sustainability information that is comparable to that of financial audits.
“Investors continue to prioritize action on the impact of climate. They are increasingly interested in the governance and financial impact and commitment of companies’ net-zero transition plans. Companies should embed sustainability in their strategies, particularly as investors continue to look at sustainability-related disclosures and communication to assess action,” says Nadja Picard Global Reporting Leader, PwC Germany.
Gartner Predicts AI Adoption in 40% of Power and Utilities Control Rooms by 2027
By 2027, 40% of power and utilities will deploy AI-driven operators in control rooms, reducing human error risks, but increasing cyber-physical system security vulnerabilities, according to Gartner .
The 2025 Gartner CIO and Technology Executive Survey indicated that 94% of power and utility chief information officers (CIOs) plan to increase their AI investments in 2025, with an average spending increase of 38.3%.
“AI technology is poised to transform the power and utilities sector,” said Jo-Ann Clynch , Sr Director Analyst at Gartner. “Human decision-making is critical, but it is also a significant factor in industrial accidents. AI-driven operations offer a compelling solution, performing tasks with repeatability, precision, and without bias when effectively governed.”
The power and utilities industry is transitioning from its traditional model of utility-owned assets, driven by technological advancements and evolving customer attitudes. Future decentralization through distributed energy resources, such as solar panels and energy storage, will enable dynamic circular behaviors, allowing customer-owned intelligent assets to address objectives like cost, production, and comfort.
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