Only 25% of AI initiatives have delivered their expected ROI and only 16% have scaled enterprise-wide, say surveyed organizations. In this playbook, discover ways to get ahead.

As the novelty wears off, business leaders are struggling to gauge AI’s effectiveness based on isolated experiments. It’s at scale, embedded deeply within business processes and across departments, where AI delivers on its promise.

The initial euphoria surrounding generative AI has given way to a more realistic understanding of its potential and challenges.

Learn how your organization can harness the power of AI-driven solutions at scale.

Anupam Singh, VP of Engineering at Roblox and Nick Renotte, Chief AI Engineer at IBM reveal the hidden pitfalls that doom AI implementations, and how you can avoid falling into the same trap.

Investing in AI ethics can create quantifiable value. We developed a holistic framework, validated through conversations with over 30 organizations, to measure the impact.

It’s not only possible, but likely, to achieve measurable ROI gains when organizations let strong data quality and AI strategy take the lead.

Fewer outages, faster restoration times and higher IT customer satisfaction scores, translate to significantly higher returns on generative AI investments.

Learn how the newest member of the C-suite boosts ROI of AI adoption.

Get research-backed insights to benchmark your behavior and performance against peers, from IBV Senior Research Director Anthony Marshall.

What makes AI so expensive? Rebecca Gott, IBM Distinguished Engineer and CTO of Power Platform and Penny Madsen, IDC Senior Research Director of Cloud and Edge Services discuss.

This stage gating model can help you prove value and unlock funding for subsequent tranches of AI work.

Explore every facet of cybersecurity, from basic principles to cutting-edge tools and developing threats.

New global research from IBM and Ponemon Institute reveals an AI oversight gap.

Explore insights from monitoring over 150 billion security events per day.

How to use the dark web to detect attacks before they do major damage.

Learn how agentic AI is redefining the cybersecurity game for both sides: attackers and defenders.

Social engineering will always be a problem, but we can all do our part to make scammers' jobs harder.

On the Security Intelligence podcast: Vibe hacking, HexStrike AI and the latest scheme from Scattered Lapsus$ Hunters

Malware written by AI will still behave like malware.

Proactive cybersecurity has a frustrating truth: Its greatest successes are invisible.

As cybersecurity teams thwart more direct hacks, attackers are turning to a quainter style of scam.

The proliferation of low-priority alerts can exhaust workers and lead to disaster.

AI systems can automate threat detection, prevention and remediation to combat cyberattacks.