AI Tools in IT Departments: What to Know

If every brand uses the same AI, where’s the advantage? 🤔 In 2026, efficiency alone won’t cut it. The real winners will stand out by being different.  Most companies are using the same off-the-shelf AI tools, chasing the same goals (speed, cost, clicks). The problem with this is that everything starts to look and feel the same. The smartest brands are doing something else. They’re teaching their AI what makes them unique and building systems that reflect their voice, values and creativity. Ask yourself: Does your AI know what makes you different?  Check out our Guide to Next 2026 to discover how you can use AI to stand out from the competition: https://lnkd.in/gdQK3psT

AI is booming… but trust is busting. 💥 Our new consumer survey reveals rising fear of AI scams & data misuse. Don’t fall behind. Get the insights: https://ow.ly/8m5250Xcaul

All that's being discussed at the moment is AI. So much potential... for good or for bad? With the increased adoption of AI globally, threat actors have new playbooks. Recently at Ping, all employees were made to do a quick but comprehensive verification process to authenticate our identity. I didn't think much of it at the time, but Ping CEO Andre Durand shared that this process is a necessary step towards prevention of threats like employment fraud, which is becoming a big concern for corporations worldwide. Like it or hate it, AI is here to stay. Stay ahead of the curve with our consumer survey insights, and delve deeper into what consumers are most concerned about today! #pingidentity #cybersecurity #consumersurvey #trusteverydigitalmoment

#Artificial_Intelligence is evolving from a black box to a realm of full transparency. !! 🔐 Petri: a new tool that helps us understand what’s happening inside the minds of ai models 🧠 In a major step toward making #AI safer and more transparent, Anthropic has announced the launch of an open-source tool called Petri. 👌 This tool aims to audit #LLMs and reveal how they behave internally ( in other words, how these models “think” and make decisions). 🔍 This means that developers and researchers will be able to analyze model behavior and understand their strengths and potential risks at early stages. What do you think, will companies really move toward making their models more transparent? 🔗 Link to the tool is in the first comment.

AI: Don’t Fear It. Harness It. AI and how to make the most of it is on the agenda for most businesses in 2026. Its use will only grow over the next few years and organisations should look to embrace it, rather than fear it. In our view, we see it as something that will take away much of the laborious, time consuming tasks that people hate and provide opportunities to interrogate data more deeply and faster than ever before. We’ll be rolling out some new AI services to clients in 2026. If you’d like to see what tools we have to help clients, get in touch.  

Organizations have already made the movement from being “AI curious” to “AI forward.” But this speed comes with the infamous “AI black box” problem. How do you successfully build and deploy your offerings that are based on AI models whose risks are based on deep embedded logic and nondeterministic behavior? https://lnkd.in/eR6pWukM

Trust. Verify. Stay curious. That’s how the title industry runs—and it still applies in the age of AI. AI can make us faster, but it’s not always right. One wrong detail can delay a closing or break trust with a client. The pros who win won’t be the ones who rely blindly on AI—they’ll be the ones who question it, learn from it, and use it wisely. Accuracy and trust still matter most. Always will. The real advantage isn’t just using AI—it’s knowing when to question it. The best teams will be the ones who use AI as a partner, not a decision-maker. They’ll trust, verify, and stay curious.

Organic growth has become a top strategic priority for advice firms and AI is fast becoming a powerful enabler. Platforum’s latest research reveals that nearly half of advisers are already using AI, with many reporting greater efficiency, stronger data management, and improved client capacity. Read the full article: https://lnkd.in/eE4WFbyt

𝗦𝗺𝗮𝗿𝘁 𝗧𝗼𝗼𝗹𝘀, 𝗦𝗵𝗮𝗿𝗽𝗲𝗿 𝗠𝗶𝗻𝗱𝘀* AI is fast, precise, and scalable, but it can’t read the room, anticipate emotional fallout, or feel the weight of a decision. That’s why the human mind remains the sharpest tool in a crisis. In our latest blog, Alder explores how how to use AI to inform thinking: • 𝗔𝘀𝗸 𝗵𝗮𝗿𝗱 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀: even when the data looks perfect • 𝗧𝗿𝘂𝘀𝘁 𝗶𝗻𝘀𝘁𝗶𝗻𝗰𝘁: human judgment catches what algorithms miss • 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘀𝗲 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻: empathy and nuance can’t be automated Read the full blog here: https://lnkd.in/e-pePDF2 *No emojis or em dashes were hurt in the creation of this LinkedIn post 

You really can’t tell what’s AI or human.    Even though we all think we can. In blind tests, people guessed 50/50 whether the writing was AI or human (which means they had no idea). Even after being trained on what to look for, accuracy barely reached 55%.    And evaluators often used the same clues like tone, emotion, or phrasing to argue both sides (no mention of em dashes though). So it turns out, we’re not great at spotting what’s “AI” like we all think we are. Seems like we’re great at spotting what’s familiar… and AI has learned to sound familiar. And the wild part is that this study was from 2021. Models are even more advanced now.