Forbes Technology Council@ForbesTechCncl

#1 vetted professional networking community for leading CIOs, CTOs and senior technology executives. Official partner of @Forbes. Membership by application.

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Joined July 2015
935 Photos and videos
Trusted Attribution Models Have Been Lying hubs.li/Q04yhpqM0 Written by Boris Kulakhmetov of AI Digital

Council Post: Trusted Attribution Models Have Been Lying

When the same company sells you the ad space and scores which ad space worked, you already know how the story ends.

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Founders Rarely Abandon Their Convictions; They Erode Them hubs.li/Q04yhpp80 Written by Amir Wain of @i2cinc

Council Post: Founders Rarely Abandon Their Convictions; They Erode Them

Preserving core convictions through growth requires knowing what should never change—and when changing course is essential.

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The Board Approved An AI Strategy: Do They Know What It Requires? hubs.li/Q04yhplQ0 Written by @demarconacho of @bairesdev

Council Post: The Board Approved An AI Strategy: Do They Know What It Requires?

Teams must remain responsible for what they ship, but the conditions that determine whether that work succeeds are a leadership responsibility.

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Build On Buy: The Third Retail Technology Model Emerging In The AI Era hubs.li/Q04yhpp60 Written by Yevgeni Tsirulnik of @toshibacommerce

Council Post: Build On Buy: The Third Retail Technology Model Emerging In The AI Era

The goal is to create your own differentiation on top of an industrialized foundation rather than modifying someone else’s application.

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Technology Creates Possibilities—Leadership Determines The Impact hubs.li/Q04yhpqH0 Written by Deepali Kaushik of NBCUniversal

Council Post: Technology Creates Possibilities—Leadership Determines The Impact

Advanced technology can only survive in organizations with leaders who can combine innovation with responsibility.

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Please join us in welcoming Ed Ryan, CEO & Member of Board of @DescartesSG, to Forbes Technology Council! Excited for the innovation and tech leadership insights Ed will bring to our community. hubs.ly/Q04yfslj0
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SaaS Companies: Don’t Underestimate Your Moat—Or Your Alligators hubs.li/Q04yhpn70 Written by Srinivas Velamoor of @NextGen

Council Post: SaaS Companies: Don’t Underestimate Your Moat—Or Your Alligators

For the typical SaaS company, four trusty alligators further defend that moat: domain expertise, enterprise-grade scale and results, context and distribution.

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The Real Reason Your Business Is Burning Too Many Tokens hubs.li/Q04yhplJ0 Written by Binny Gill of Kognitos

Council Post: The Real Reason Your Business Is Burning Too Many Tokens

Spend the tokens once to write the rules down, then use a cheaper form of intelligence to execute them.​

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Why AI Readiness Is The Next Competitive Advantage hubs.li/Q04yhpqG0 Written by Haris Pylarinos of @hackthebox_eu

Council Post: Why AI Readiness Is The Next Competitive Advantage

Every step toward automation increases the need for and importance of human intervention.

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Stop Measuring AI By Benchmarks And Start Measuring Its Business Value hubs.li/Q04yhplF0 Written by Samir Dutta of Farsight AI

Council Post: Stop Measuring AI By Benchmarks And Start Measuring Its Business Value

The next phase of enterprise AI requires a measurement framework built around business outcomes, operational impact and ROI rather than model performance alone.

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Career Gradient Ascent: A Framework For The IC-Vs.-Manager Decision hubs.li/Q04yhpp20 Written by Aditi Khullar of Two Sigma

Council Post: Career Gradient Ascent: A Framework For The IC-Vs.-Manager Decision

Leadership is what you make of it while you're there.

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Forward Deployed: What’s Real, And What’s Hype? hubs.li/Q04yhppQ0 Written by Dave McCann of IBM

Council Post: Forward Deployed: What’s Real, And What’s Hype?

The "forward-deployed" title matters, but it’s only a fraction of the story.

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The Most Expensive Fraud Decision Is The One You Never See hubs.li/Q04yhpnX0 Written by Adarsh Naidu of Amazon web Services

Council Post: The Most Expensive Fraud Decision Is The One You Never See

Your fraud system is only as good as the feedback it receives.

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Why The EU AI Act Applies To You, Even Outside Europe hubs.li/Q04yhpj40 Written by Dimitri Boylan of Avature

Council Post: Why The EU AI Act Applies To You, Even Outside Europe

The EU AI Act is pushing global employers toward a more disciplined way of governing AI in HR.

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What Is Agentic Commerce Optimization? How Brands Can Get Recommended By AI hubs.li/Q04yhpls0 Written by Max Sinclair of Azoma

Council Post: What Is Agentic Commerce Optimization? How Brands Can Get Recommended By AI

Brands need to understand what happens when an AI agent sits between the consumer and their assets.

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What The Zero-Click Era Reveals About The Data You Missed hubs.li/Q04yhph_0 Written by Todd Fisher of CTM (formerly CallTrackingMetrics)

Council Post: What The Zero-Click Era Reveals About The Data You Missed

Fewer people are clicking through to websites before calling; instead, they’re arriving already sold on an AI summary they've read.

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The New Breed Of Software Developer—And How To Remain Relevant hubs.li/Q04yhpnV0 Written by @albertol of @invidgroup

Council Post: The New Breed Of Software Developer—And How To Remain Relevant

The technology landscape is moving so quickly that software developers will need to build continuous learning into their daily activities.

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Adaptive Interface As A Product Decision: Does It Simplify Usage Or Add Complexity? hubs.li/Q04yhphX0 Written by Polina Chebanova of Phenomenon Studio

Council Post: Adaptive Interface As A Product Decision: Does It Simplify Usage Or Add Complexity?

I'll break down when adaptation creates product value and when it only adds complexity—and how to tell whether a product is ready for it.

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The Command You Never Gave: When AI Agents Act Beyond Intent hubs.li/Q04yhphT0 Written by @sumit_dhawan of @proofpoint

Council Post: The Command You Never Gave: When AI Agents Act Beyond Intent

The most dangerous command in the age of agentic AI may not be the one an agent receives but the one the organization never intended to give.

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Why AI Teams Should Never Treat Training Data As Evidence hubs.li/Q04yhpk30 Written by Patrick Dajos of Hyperbound

Council Post: Why AI Teams Should Never Treat Training Data As Evidence

Reliable AI isn't achieved by giving models more information; it's achieved by helping them select, challenge, verify and trace the right information.

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