Risk Manager + AI: Future-Proofing AI: 2025 Data Trends to Watch, Industrial Supply Chains Get a Tech Overhaul, Trump's AI Reversal Shakes Up Biden's Blueprint

AI is revolutionizing risk management, but its integration brings both opportunities and challenges. From improving coverage to enhancing operational efficiency, AI is reshaping the way risk is managed from the enterprise level on down. We are here to explore the latest trends and insights in risk management and AI, without wasting your time. What you need to know today, nothing more.

Today’s Features:

• Industrial Supply Chains Get a Tech Overhaul

• Trump's AI Reversal Shakes Up Biden's Blueprint 

• Navigating Digital Transformation Risks with Fuzzy Logic 

• 2025 is Lining up to be the Year That AI Goes Mainstream

• Future-Proofing AI: 2025 Data Trends to Watch

Industrial Supply Chains Get a Tech Overhaul

The industrial sector is on the brink of a transformation, driven by the advent of mandatory Software Bill of Materials (SBOMs). With 2025 as the target, companies are scrambling to bolster supply chain security. Emerging technologies like AI and blockchain are set to play pivotal roles.

By the Numbers:

- 2025: The year by which SBOMs are expected to become standard.
- 75%: The percentage of companies aiming to integrate AI in supply chain operations by 2024.
- 60%: Firms looking to adopt blockchain for enhanced transparency.

Why It Matters: Securing the supply chain is critical to avoid disruptions and maintain operational integrity in industrial sectors.

What's Next: As the deadline nears, firms will increase investments in AI and blockchain. Expect more regulatory guidelines and partnerships to emerge as industries adapt.

Trump's AI Reversal Shakes Up Biden's Blueprint 

President Trump wasted no time in his second term by axing Executive Order 14110, Biden's framework for AI safety and trust. The move sends ripples through the tech and policy spheres, signaling a shift in how the U.S. plans to approach AI challenges.

The revoked order was a cornerstone of the previous administration's AI strategy, emphasizing ethical standards and secure systems.

Details:

- 1 executive order eliminated on Day 1 of Trump's new term.
- 3 years since Executive Order 14110 was enacted.
- 2 presidents with differing AI visions.

Why It Matters: This pivot could lead to new AI regulations, impacting everything from tech innovation to international collaboration.

What's Next: Expect Trump's team to roll out a new AI policy, potentially less focused on regulation and more on innovation incentives. Stakeholders in AI research and industry will likely lobby for favorable changes, while critics may push back on deregulation concerns.

Navigating Digital Transformation Risks with Fuzzy Logic 

Companies are diving headfirst into digital transformation to stay competitive. But, with great change comes great risk. Enter a new method: the hybrid picture fuzzy distance measure. This approach aims to assess and mitigate risks associated with digital overhauls.

By the Numbers:

- 70% of digital transformations fail to meet their goals.
- Companies spend an average of $1.3 trillion on digital transformation annually.
- Only 16% of executives say their transformation efforts have improved performance.

Why It Matters: Digital transformation is necessary but risky. Understanding and mitigating these risks can save billions and ensure successful implementation.

What's Next: As fuzzy logic gains traction, expect more companies to adopt this method to assess their digital transformation risks. Future research might refine these measures, helping businesses to navigate their tech transitions smoothly.

AI's Next Big Moves in 2025

Tech experts are forecasting the next wave of AI innovations by 2025. From AI agents to intelligent automation, the landscape is set for major shifts. Expect changes across tech spending, cloud computing, and job markets.

By the Numbers:

- 75% of enterprises are expected to have AI in their processes by 2025.
- Cloud computing market reaching $1 trillion by 2025.
- Security breaches to increase by 30% without AI intervention.

Why It Matters: These trends will reshape how businesses operate and compete in a rapidly evolving digital world.

What's Next: Companies are gearing up for a wave of AI-driven IPOs and new job roles. The push towards edge computing is expected to streamline processes further. Stay tuned for how these predictions unfold as we head into 2025. Read More

Future-Proofing AI: 2025 Data Trends to Watch

Organizations are gearing up for significant shifts in AI data management by 2025.  Enterprise AI readiness is at the forefront, with companies aiming to harness their data resources more effectively. Governance and return on AI investment are becoming critical components of strategic planning.

By the Numbers:

- 60% of organizations plan to improve data quality for AI initiatives.
- 55% are prioritizing AI governance frameworks.
- 70% expect a tangible return on AI investments within two years.

Why It Matters: Data readiness and governance are key to unlocking AI's full potential, ensuring investments yield expected returns.

What's Next: In the coming years, companies will continue refining their AI strategies, focusing on robust governance and metrics for success. To stay competitive, it's essential to keep evolving AI practices and adapt to emerging industry standards. Read More