logo
How To Get More Value From AI

How To Get More Value From AI

Forbes26-06-2025
Fortunately, it doesn't take much to wring value from AI. We just need to broaden our understanding of its capabilities, recognize its limitations, and follow a few best practices.
AI can do amazing things, from improving cancer screenings to combating climate change. Little ole you and me, we may have more modest ambitions, but we still want to get the most from this technology. How do we do that without having to become an AI coding expert?
Fortunately, it doesn't take much to wring value from AI. We just need to broaden our understanding of its capabilities, recognize its limitations, and follow a few best practices.
AI abilities are expanding
AI is great for writing ad copy, a speech, a sales pitch, or an essay. But it pays to get creative. Some less obvious uses may inspire you to dream up your own ideas:
I found many great ideas in a ChatGPT reddit group; you can find AI prompt examples in Google's library, too.
Match the AI to the task
When I asked Gemini to find restaurants with private meeting rooms in my area, its recommendation to 'check their websites or contact them directly' didn't help me. Grok gave me several options, but the top one has been closed for a couple of years. ChatGPT gave me great recommendations, many with information about room size or maximum number of guests, plus a map and links to directions, websites, and phone numbers.
You may need to use an AI app that is designed for a narrower function. For example, to record and transcribe phone calls or meetings, try Otter.ai, or the Google app, Braindump.
Ask AI-friendly queries
Specifying context and parameters, and using an AI-friendly format, will generate more specific, relevant, and accurate results.
If you don't like the results, revise your query. Most chatbots will continue to follow the thread you were working on, so you don't have to start over. For example, an image of people I requested from ChatGPT had bad lighting; I asked it to revise the image to have more detail, and it did.
Protect yourself from AI risks
Respect ethical boundaries: There are many thorny legal issues concerning the use of AI, including the alleged use of copyrighted material to train AI models, the impact of AI bias, and proposed liability rules. Businesses need to be aware of the risks and have compliance policies in place to avoid them.
Check their work: Some businesses, and even government agencies, have been caught using fabricated AI-generated content. While AI apps work by accessing massive amounts of data housed in large language models (LLMs), that data might be outdated, incorrect, or even fictitious, so protect yourself by visiting the sources they cite and verify the information.
Private and secure: If you upload anything to a general-purpose AI chatbot, it will likely be stored in the cloud, become owned and managed by the chatbot operator, and may be used to train their models. So don't upload personally identifiable information, and certainly don't upload confidential work-related data.
Even if what you do with AI isn't sensitive, you should still take steps to secure your interactions by adjusting the security settings within your chatbots.
Some enterprise AI apps, including SAP's Joule copilot app, access only corporate data that is secured on private cloud servers. Only SAP customers can access Joule, and the only private data they can access is their own. Joule doesn't allow file uploads, and customer data isn't used to train the models it runs on.
Run AI locally: You can download a free app like Ollama or gpt4all and run AI models on your personal computer. Your data will remain local, though your queries will run more slowly than they would in the cloud, where they benefit from AI companies' huge, nuclear-powered data centers.
AI is learning—how to keep pace
Still want to learn more about how to get the most out of AI? Take online AI courses. Many are free, though if you want to crow about it on your resume or your LinkedIn profile, you may need to pay for a digital certificate.
Gaining AI skills takes training and experience. Workers know that success—theirs and their companies'—depend on it. Read The importance of AI literacy to AI adoption to learn more about how others are addressing this issue.
A version of this story appears on SAP.com
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

WeTransfer backlash highlights need for smarter AI practices
WeTransfer backlash highlights need for smarter AI practices

Digital Trends

time18 minutes ago

  • Digital Trends

WeTransfer backlash highlights need for smarter AI practices

A recent update to WeTransfer's terms of service caused consternation after some of its customers feared that it meant content from files uploaded to the popular file-sharing service would automatically be used to train AI models. But the Netherlands-based company insisted on Tuesday that this is not the case, saying in a statement that it 'does not sell user content to third parties,' and nor does it 'use AI in connection with customer content.' Recommended Videos The updated terms of service that prompted the criticism was sent to its customers earlier this month and marked as going into effect on August 8, 2025. The text stated that WeTransfer could use content shared on its service for purposes 'including to improve performance of machine learning models that enhance our content moderation process.' The new wording was widely interpreted as granting WeTransfer the right to use customer-uploaded files to train AI models. Many users reacting strongly, accusing WeTransfer of giving itself the right to share or sell customer content to AI companies hungry for fresh data to train their AI technologies. On Tuesday, WeTransfer tried to reassure its users by saying in a statement that 'your content is always your content,' and that 'we don't use machine learning or any form of AI to process content shared via WeTransfer.' It continued: 'The passage that caught most people's eye was initially updated to include the possibility of using AI to improve content moderation and further enhance our measures to prevent the distribution of illegal or harmful content on the WeTransfer platform. Such a feature hasn't been built or used in practice, but it was under consideration for the future.' It said that it had removed the mention of machine learning from its terms, 'as it's not something WeTransfer uses in connection with customer content and may have caused some apprehension.' The revised section now states: 'You hereby grant us a royalty-free license to use your Content for the purposes of operating, developing, and improving the Service, all in accordance with our Privacy & Cookie Policy.' The controversial episode highlights the growing sensitivity among people toward having their content used for AI model training. Artists, musicians, and writers, for example, have been protesting strongly against AI companies using their work to train AI models without asking for permission or offering compensation. The troubling episode is also a lesson for other online companies to be clearer about how they're handling user data, as misunderstandings over AI can, as we've seen, quickly escalate into a major backlash.

Google confirms merging Chrome OS and Android into one platform
Google confirms merging Chrome OS and Android into one platform

Digital Trends

time35 minutes ago

  • Digital Trends

Google confirms merging Chrome OS and Android into one platform

Why it matters: Google's push to blend Chrome OS and Android could supercharge affordable laptops like Chromebooks, making them more versatile for work and play. This move echoes Apple's seamless ecosystem across iPadOS and macOS, potentially shaking up the PC market where Windows dominates but innovation lags. What's happening: In a bombshell interview, Google's Android ecosystem president Sameer Samat outright confirmed the company is 'combining Chrome OS and Android into a single platform. This follows months of rumors and aligns with Android 16's new desktop-friendly features, like proper windowing and external display support. But then Samat later clarified on X that it's not a full-on merger killing Chrome OS; instead, it's about weaving Android's tech stack deeper into Chrome for better app compatibility and hardware efficiency. Recommended Videos The big picture: Chrome OS has long borrowed from Android, starting with Google Play Store integration back in 2016, allowing millions of apps on Chromebooks. We've seen hints of this evolution for years—remember when Android apps first hit Chrome OS? Now, with AI taking off and foldables rising, a unified OS could mean Chromebooks evolve into hybrid beasts: lightweight for browsing, robust for productivity. It might boost Google's Pixel lineup too, turning tablets into laptop rivals. Critics worry about bloat or higher hardware demands, but fans see it as Google's smartest play in ages. The details: Timeline unclear: No firm dates yet, but Android 16's desktop tweaks suggest progress by 2026. No firm dates yet, but Android 16's desktop tweaks suggest progress by 2026. Key changes: Expect enhanced multitasking, better keyboard/mouse support, and seamless app scaling across phones, tablets, and laptops. Expect enhanced multitasking, better keyboard/mouse support, and seamless app scaling across phones, tablets, and laptops. Impacts: Chromebooks could get longer updates like Android devices, but older models might struggle. Google's eyeing how people use laptops today to refine it—think more touch-friendly interfaces without losing desktop power (and yes, those horrible fingerprints on the screen). Chromebooks could get longer updates like Android devices, but older models might struggle. Google's eyeing how people use laptops today to refine it—think more touch-friendly interfaces without losing desktop power (and yes, those horrible fingerprints on the screen). Competition angle: This pits Google directly against Microsoft's Windows on ARM and Apple's M-series chips, aiming for energy-efficient, app-rich computing. What's next: Google's keeping details under wraps, but watch for beta tests in upcoming Android updates. If executed right, this could redefine budget computing—stay tuned as we test the first merged devices. For now, it's a bold step toward a truly connected Google world.

OutSystems Unveils Agent Workbench to Accelerate Enterprise AI Innovation
OutSystems Unveils Agent Workbench to Accelerate Enterprise AI Innovation

Yahoo

time40 minutes ago

  • Yahoo

OutSystems Unveils Agent Workbench to Accelerate Enterprise AI Innovation

OutSystems Agent Workbench empowers organizations to create custom AI agents that streamline operations, elevate experiences, and grow revenue SINGAPORE, July 16, 2025 /PRNewswire/ -- OutSystems, a leading AI-powered low-code development platform, today announced the Early Access Program for OutSystems Agent Workbench. Agent Workbench enables enterprises to create and orchestrate intelligent agents for any use case—and across any department, workflow, or data—with enterprise-grade security and control. Delivered on OutSystems trusted platform, Agent Workbench makes it easier than ever for pragmatic leaders to innovate at speed and orchestrate human-AI collaboration. "Organizations are excited by the promise of AI and agentic systems, but are struggling with endless pilots and ungoverned tool sprawl while the business impact stalls. Legacy systems, siloed data, fragmented AI tools, and complex AI development cycles are slowing progress," said Woodson Martin, CEO of OutSystems. "We built Agent Workbench to make it possible to unlock custom agents as a true business enabler—not an experiment." With everything organizations need to create and scale enterprise-grade agents, OutSystems Agent Workbench simplifies the transformation of existing business applications, workflows, and tools into intelligent, agentic systems that can reason, plan, and act. IT teams can embed agentic AI into enterprise-wide operations without disrupting current workflows or rearchitecting core systems—accelerating adoption and time to value. From connecting to custom AI models to creating and orchestrating agents that work across all enterprise applications and data, Agent Workbench makes AI a driver of enterprise innovation. With Agent Workbench, organizations of any size can: Build and scale AI agents that work across the entire enterprise effortlessly and safely for real-time goal interpretation, option evaluation, and decision-making, while controlling tool sprawl through a single platform. Seamlessly integrate with custom AI models or leading third-party providers like Azure OpenAI and AWS Bedrock to centralize control over AI and data access, decrease cost, and enable multi-vendor utilization. Ground AI agents with a unified data fabric that connects to diverse enterprise data sources, such as existing OutSystems 11 data and actions, relational databases, data lakes, knowledge retrieval systems like Kendra and Azure AI Search, and even agent memory of past interactions, to ensure accurate and context-rich responses across workflows. Orchestrate multi-agent workflows where agents dynamically adjust process flows based on an understanding of all enterprise systems, with real-time context, reasoning, and decisions to tackle complex tasks—whether working in parallel, sequentially, or hierarchically. This enables collaborative task execution, escalation handling, and human intervention when necessary. Monitor agent performance enterprise-wide with real-time logging, error tracing, and built-in guardrails to ensure transparent, reliable decision-making. Gain full visibility into how AI agents operate at every step—making it easy to audit, troubleshoot behavior, and prevent hallucinations, while building trust through explainability and control. Sign up for the OutSystems Agent Workbench Early Access Program here. OutSystems Agent Workbench will be generally available later this year. To learn more, visit the OutSystems Agent Workbench page. About OutSystems OutSystems is a leading AI-powered low-code development platform, empowering IT leaders with a better way to build the software that matters most. The OutSystems platform helps companies develop, deploy, and maintain mission-critical applications by unifying and automating the entire software lifecycle. With OutSystems, organizations leverage gen AI to deliver software instantaneously, adapt faster to changing requirements, and reduce technical debt by building on a future-proof platform. Helping customers achieve their business goals by addressing key strategic initiatives, OutSystems delivers production software up to 10x faster than traditional development. Recognized as a leader by analysts, IT executives, business leaders, and developers around the world, global brands trust OutSystems to tackle their impossible projects and turn their big ideas into software that moves their business, people, and the world forward. Founded in 2001, the company's network spans more than 800,000 community members, over 500 partners, and active customers in 75+ countries across 21 industries. Learn more at View original content to download multimedia: SOURCE OutSystems Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store