AI business strategies
Artificial intelligence software is changing how enterprises conduct business. Machine learning supports data-driven decisions, customer service chatbots follow up on leads, robots in manufacturing boost productivity -- the list goes on. Get advice for building and implementing AI business strategies.
Top Stories
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Feature
19 May 2026
The Meta warning: When AI spending becomes a liability
Meta's stock dropped 10% after it revealed higher AI costs. CIOs must prove AI investments deliver value, and AI spending is not becoming a liability. Continue Reading
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Feature
18 May 2026
10 insights on AI adoption in network operations
A recent survey revealed 10 key insights on AI adoption in networking. Research shows network professionals currently use AI for automation, threat detection and optimization. Continue Reading
By- Deanna Darah, Site Editor
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News
18 May 2026
Why AI in network operations requires human judgment
Many network pros are skeptical about AI, but it's most effective as an assistant to human judgment. A framework helps engineers improve skills and build confidence. Continue Reading
By- Deanna Darah, Site Editor
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Tip
15 May 2026
Why AI pilots fail and how to move them into production
While AI pilots thrive in sandboxes, production demands clear ownership, robust data infrastructure, failure testing and runtime monitoring throughout the system's lifecycle. Continue Reading
By- Donald Farmer, TreeHive Strategy
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Feature
15 May 2026
Educating the future AI-savvy human workforce
As the need for skilled AI workers approaches desperation levels for many businesses, unique and more personalized teaching methods are preparing tomorrow's AI workers. Continue Reading
By- Liz Hughes, LTH Media Services
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Feature
15 May 2026
Data sovereignty expands beyond compliance boundaries
Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for jurisdictional risk, resilience and recovery. Continue Reading
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Feature
15 May 2026
AI is fundamentally transforming organizations
AI veteran Peter Day discusses why enterprise AI transformation struggles: It's an organizational change problem, not a technology one, with rising costs and shifting roles. Continue Reading
By- Jim O'Donnell, News Director
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Answer
13 May 2026
Is it time to adopt autonomous endpoint management software?
Autonomous endpoint management tools promise AI-driven device oversight, but are they truly innovative, or just rebranded automation? Here's what IT leaders need to know. Continue Reading
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Feature
12 May 2026
AI drones undertake high-risk jobs along the supply chain
From power line and bridge inspections to remote and heavy cargo deliveries, autonomous AI drones are becoming the supply chain's version of air traffic controllers. Continue Reading
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News
12 May 2026
SAP rolls out customer experience AI agents, assistants
SAP woos users with more tools to plug customer experience into back-end ERP data. Continue Reading
By- Don Fluckinger, Senior News Writer
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Feature
11 May 2026
AI existential risk: Is AI a threat to humanity?
What should enterprises make of the recent warnings about AI's threat to humanity? AI experts and ethicists offer opinions and practical advice for managing AI risk. Continue Reading
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Feature
08 May 2026
Govern citizen development to avoid data pipeline downtime
Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably. Continue Reading
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Feature
07 May 2026
8 AI use cases in manufacturing
Manufacturers are moving from AI experimentation to practical use cases that improve productivity, product quality, maintenance and supply chain decision-making. Continue Reading
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Feature
07 May 2026
GenAI and synthetic data: What can go wrong in business?
GenAI's ability to improve everything it touches, including synthetic data, is undeniable, but when misused, simulated data can amplify bias, taint data and compromise security. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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News
07 May 2026
Enterprises are making an AI native transformation
AI agents are transforming enterprises and taking on work in financial analysis, customer experience and coding. But strong leadership is needed for companies to become AI-native. Continue Reading
By- Jim O'Donnell, News Director
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Tip
07 May 2026
Generative AI ethics: 16 biggest concerns and risks
As adoption and use cases grow, generative AI is upending business models and driving ethical issues such as misinformation, brand integrity and job displacement to the forefront. Continue Reading
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Feature
06 May 2026
Meta's AI training with keystrokes: Progress or privacy issue
Meta is capturing employee keystrokes, mouse movement and screenshots on work devices to train AI models, raising significant privacy concerns and fueling fears of job replacement. Continue Reading
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Feature
06 May 2026
Communities call for transparency in AI data center deals
Your company might not be building an AI data center, but your AI workloads likely run in them. Here's what you need to know about the land-use war around data center development. Continue Reading
By- Everett Bishop, Associate Site Editor
- Olivia Wisbey, Site Editor
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Tip
05 May 2026
AI-augmented teams: Training for human-machine collaboration
Organizations must shift from viewing AI as just a tool to a strategic collaborator. This requires workforce readiness and skills developed through training and collaboration. Continue Reading
By- Damon Garn, Cogspinner Coaction
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Feature
01 May 2026
The UC stack gets the policy job
As UCaaS platforms add AI and become central to hybrid work, enterprises need to balance cloud scale with control over communications data, compliance and policy. Continue Reading
By- James Alan Miller, Senior Executive Editor
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Tip
01 May 2026
Business intelligence challenges intensify as AI use grows
AI can produce analytics findings more quickly, but it's all for naught if data quality lags and organizations don't address that and other issues in BI systems. Continue Reading
By- Tom Walat, Editor
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Feature
29 Apr 2026
Tokenmaxxing: How CIOs can extract maximum value from AI tokens
Tokenmaxxing is the key to mastering AI costs. Discover how enterprises can optimize token usage, reduce waste and scale AI responsibly. Continue Reading
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Tip
27 Apr 2026
How to build AI skills across your workforce
AI skills are no longer an optional investment. Business leaders who know how to build AI skills throughout their organizations can unlock AI's full potential. Continue Reading
By- Kashyap Kompella, RPA2AI Research
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Feature
27 Apr 2026
MIT EmTech: 2026 is the year AI goes to work
At MIT EmTech AI, 2026 is called the year for enterprise agentic AI, with companies deploying agents that autonomously handle marketing, service desks and background workflows. Continue Reading
By- Jim O'Donnell, News Director
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Feature
24 Apr 2026
Businesses gear up for AI agents in the enterprise
AI agents might be going mainstream and coming to a desk near you -- so say speakers at EmTech AI this week, where attendees were also treated to viewing their digital twins. Continue Reading
By- Olivia Wisbey, Site Editor
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Tip
24 Apr 2026
How businesses use KPIs to measure AI's performance
Business decision-makers under heavy pressure to justify the value of their AI projects look to key performance indicators for salvation. KPIs reveal AI's efficiency and ROI. Continue Reading
By- John Burke, Nemertes Research
- Jerald Murphy, Nemertes Research
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Feature
23 Apr 2026
Build an ethical AI framework: 12 top resources
IEEE Global Initiative, World Economic Forum and Stanford Institute are among the best resources available to businesses building a viable ethical AI foundation for responsible AI. Continue Reading
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Feature
22 Apr 2026
Democratizing AI in business: The good, bad and ugly
AI democratization planned and introduced correctly can profoundly increase AI's business value -- but inadequate AI tools and poor workforce training can bring it all down. Continue Reading
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Feature
20 Apr 2026
How to start a career in AI: Advice from experts
AI careers don't follow one path. As AI becomes part of everyday work, more professionals are entering the field by building on what they already do and focusing on real results. Continue Reading
By- Liz Hughes, LTH Media Services
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Feature
20 Apr 2026
Business vs. provider: AI software restrictions to know
How much control do businesses have over the use of AI platforms they buy? Vendor acceptable use contracts and policies can determine an AI deployment's success or failure. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Feature
17 Apr 2026
Build vs. buy AI: A CIO's decision matrix
CIOs must decide whether to build custom AI or buy vendor platforms. The choice determines talent deployment, competitive advantage and long-term control over business logic. Continue Reading
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Opinion
17 Apr 2026
Canva is showing us a glimpse of knowledge work's future
With Canva AI 2.0, the company appears to be evolving from a design tool into a full-fledged, AI‑powered productivity platform that could reshape knowledge work. Continue Reading
By- Gabe Knuth, Principal Analyst
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Omdia
Intelligence and advice powered by decades of global expertise and comprehensive coverage of the tech markets.
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Feature
16 Apr 2026
GenAI in accounting: Chat BDO's ride from pilot to production
Accounting and advisory firm BDO built and deployed a proprietary AI platform so its tax and audit pros could automate routine tasks and significantly increase client-facing time. Continue Reading
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Tip
16 Apr 2026
Exploring the context layer for AI systems
To meet the needs of AI's increasing agency, context layers capture the missing reasoning, business rules and decision rationale that power truly aligned, autonomous AI systems. Continue Reading
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Tip
15 Apr 2026
4 strategic approaches to effective shadow AI governance
Shadow AI is a technological risk and a governance challenge. Organizations must combine structured frameworks, continuous visibility and education to control these risks. Continue Reading
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Feature
14 Apr 2026
Hybrid search demands reshape retrieval frameworks for AI
As AI workloads mature, enterprises face multiple data platform choices to improve search and retrieval capabilities while meeting governance and operational demands. Continue Reading
By- Tom Walat, Editor
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Guest Post
13 Apr 2026
Beyond the chatbot: Engineering the agentic enterprise
Agentic AI is taking over where chatbots leave off. These systems let enterprises automate workflows, driving operational change and doing real work. Continue Reading
By- Ankita Devadiga
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News
13 Apr 2026
Lenovo deploys AI data agent for marketing, UX, e-commerce
Lenovo's global e-commerce chief operating officer outlines how agentic AI enables more employees to access crucial data stores for marketing and UX. Continue Reading
By- Don Fluckinger, Senior News Writer
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Feature
10 Apr 2026
GenAI data center infrastructure reshapes business processes
Building and retrofitting data centers to support GenAI is not a matter of IF but WHEN, so the game plan must include power needs, grid connectivity, model training and permitting. Continue Reading
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Opinion
10 Apr 2026
RSAC 2026: End-user AI agents are here, but invisible
Agentic AI dominated RSAC 2026 as vendors grappled with invisible AI usage, shadow tools, unsecured end‑user agents and a renewed focus on the endpoint. Continue Reading
By- Gabe Knuth, Principal Analyst
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Omdia
Intelligence and advice powered by decades of global expertise and comprehensive coverage of the tech markets.
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Tip
09 Apr 2026
The business case for a multi-cloud AI strategy
Using a single cloud provider for AI infrastructure can have its limitations. Discover the benefits businesses can realize by opting for a multi-cloud AI strategy. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Tip
08 Apr 2026
How to choose a data center for AI workloads
Variables like power and network capacity affect the ability of data centers to support AI workloads. But not all AI workloads require the most powerful data center capabilities. Continue Reading
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Feature
07 Apr 2026
GenAI in product manufacturing cuts costs but adds risks
In product design and manufacturing, GenAI systems are consolidating supplier data, improving processes and cutting significant software costs -- yet they raise unique concerns. Continue Reading
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News
06 Apr 2026
The ethical implications of Anthropic's feud with the Pentagon
The Anthropic-Pentagon feud highlights a broader shift in AI governance, where ethical constraints, vendor policies and legal frameworks are redefining control and accountability. Continue Reading
By- Kinza Yasar, Technical Writer
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Opinion
03 Apr 2026
IT's budgetary nightmare: Tech buyers face AI pricing variance
Did HubSpot just fix AI pricing? Continue Reading
By- Don Fluckinger, Senior News Writer
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Tip
02 Apr 2026
Managing drift in AI models and data
The training data and algorithms used to build AI models have a shelf life. Detecting and correcting model drift ensures that these systems stay accurate, relevant and useful. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Feature
02 Apr 2026
Overcome roadblocks to GenAI adoption and unlock ROI
GenAI deployments can fall prey to unrealistic goals, misguided pilots, job loss fears, hidden costs and lack of trust. Governance and workforce readiness are keys to success. Continue Reading
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Feature
01 Apr 2026
FinOps can manage AI computing costs, experts say
FinOps is no longer just about optimizing cloud spending. Hear from experts on what makes FinOps a desirable option to help businesses manage their AI costs. Continue Reading
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Tip
31 Mar 2026
History of generative AI innovations spans 9 decades
Rapid GenAI advances are reshaping industries, sparking legal battles and driving embodied AI innovations, paving the way for transformative business processes and tools. Continue Reading
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Feature
31 Mar 2026
AI ethical red flags businesses must avoid
AI tools are everywhere in businesses, but are ethical best practices keeping pace? Here are the ethical AI red flags business leaders are seeing, and how to avoid them. Continue Reading
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News
31 Mar 2026
Salesforce Agentforce head discusses future of AI agents
This is how agentic AI plays out in your Salesforce instance. Continue Reading
By- Don Fluckinger, Senior News Writer
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Tip
31 Mar 2026
LLM build vs. buy: A decision framework for LLM adoption
When deciding whether to build or buy a large language model, businesses must consider costs, customization, governance, risk and readiness to determine the best AI approach. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Feature
31 Mar 2026
How Axis Communications navigates global AI regulation
As AI rules evolve, compliance grows more complex. CIO Jonas Hansson encourages IT leaders to assess data risk and track vendor sub-processors to stay compliant. Continue Reading
By- Tim Murphy, Site editor
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Feature
30 Mar 2026
The death of the seat: AI's effect on UC pricing models
AI costs are threatening traditional SaaS budgets. UC and CX leaders face new pricing models, vendor lock-in risks and the challenge of defining AI ROI. Continue Reading
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Tip
30 Mar 2026
7 best practices to avoid AI vendor lock-in
While lock-in is sometimes unavoidable, it's the very definition of risk. Businesses can use these best practices to mitigate lock-in risk with AI vendors. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Feature
27 Mar 2026
What CIOs need to know going into AI vendor negotiations
CIOs must treat AI vendor negotiations differently than legacy software deals, by using data assets, examining contracts and accounting for hidden costs to avoid costly lock-in. Continue Reading
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Tip
27 Mar 2026
AI risk management: A strategic guide for enterprise leaders
Enterprises across business sectors are adopting AI technologies, but are they prepared to deal with the risks? Our AI risk management guide can help. Continue Reading
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Feature
27 Mar 2026
Agentic AI streamlines PromptCare's operations
As organizations deploy agentic AI, Phil Merrell, CIO of PromptCare, encourages IT leaders to focus on the end-to-end process and use the 80/20 rule for agility. Continue Reading
By- Tim Murphy, Site editor
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Feature
27 Mar 2026
Data domain ownership, data mesh chart path to AI-ready data
That AI initiative won't get off the ground without timely, reliable data. Bringing technology and team practices into sync reduces delays and boosts data readiness. Continue Reading
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Feature
26 Mar 2026
Businesses face complex cost-cutting options with GenAI
Some GenAI cost saving candidates might disappoint. The best approach to cost reductions vary according to the business function and an enterprise's strategic business priorities. Continue Reading
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Tip
25 Mar 2026
6 types of AI content moderation and how they work
AI is reshaping content moderation across text, images, audio and video. Learn six moderation methods and why human review still matters. Continue Reading
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Feature
24 Mar 2026
GenAI is ready for more autonomy, but supply chains are not
Disruptions, vulnerabilities, late deliveries and customer interactions are among the supply chain concerns that GenAI could address autonomously -- if businesses can trust it. Continue Reading
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Answer
24 Mar 2026
Is AI-generated content copyrighted?
AI-generated content can sometimes be copyrighted, but only when a human contributes enough creative expression. Recent court rulings still leave major questions open. Continue Reading
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Feature
24 Mar 2026
AI talent strategy: How Rayburn Electric builds AI-ready teams
Rayburn Electric doesn't need to build its own AI models, but it needs AI champions who can implement the technology across operations. Continue Reading
By- Tim Murphy, Site editor
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Feature
24 Mar 2026
Why AI backlash is a leadership problem -- not a tech one
AI backlash is shaping up to be more of a trust issue than a tech one. Open communication and accountability can help overcome resistance and lead to successful AI integrations. Continue Reading
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Feature
24 Mar 2026
GenAI's role in a return trek to the moon and beyond
NASA's use of GenAI models in the Artemis space program and communication with Mars rovers provides valuable business lessons in governance and keeping humans in the loop. Continue Reading
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Tip
24 Mar 2026
How to preprocess different types of data for AI workloads
Data preparation for AI differs by data type. However, common themes include improving data quality, ensuring consistency, reducing computing demands and enhancing model performance. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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News
24 Mar 2026
U.S. federal AI framework deemed aspirational, noncommittal
The latest executive order is a step toward federal AI regulation. But it's largely noncommittal and shifts most responsibility to Congress, creating an interesting midterm dynamic. Continue Reading
By- Jennifer English, Editorial Director
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Tip
23 Mar 2026
5 questions every CIO should ask before investing in AI
AI investment is accelerating, but many initiatives fail to scale. Five key questions help CIOs evaluate use cases, data readiness, long-term value and risk before committing resources. Continue Reading
By- Kinza Yasar, Technical Writer
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News
23 Mar 2026
Can tokenization free up more data for AI model training?
Research from Capital One Software and PwC suggests enterprises can tap sensitive data to train AI models while balancing predictive power and privacy. Continue Reading
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Feature
20 Mar 2026
AI disruption: How CIOs should prepare for a new economy
AI disruption may not hit as quickly as the Citrini Research scenario imagined, but CIOs still need to prepare. Consider what the scenario got right and how IT leaders can respond. Continue Reading
By- Tim Murphy, Site editor
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Tip
20 Mar 2026
Build accountability into AI to drive business value
In a perfect world, AI systems work 100% of the time, but that's not the case in the real world. AI accountability ensures someone takes responsibility when AI fails. Continue Reading
By- Kashyap Kompella, RPA2AI Research
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Tip
19 Mar 2026
Does your organization need an AI ethics committee?
Ethics oversight ensures high-risk AI use is accountable, responsible and compliant. Not all organizations need one; some incorporate this oversight into risk or legal teams. Continue Reading
By- Kinza Yasar, Technical Writer
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Feature
19 Mar 2026
Why sustainability is becoming a gateway for AI approval
The growing emphasis on sustainability is transforming AI governance. Its environmental impact is becoming as crucial for widespread approval as security, privacy and compliance. Continue Reading
By- Christine Campbell, The Alpha Content Company
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Feature
18 Mar 2026
Smarter robots: Agentic and physical AI converge in business
The robotics industry is entering a new era where, thanks to AI, robots learn, optimize and solve the world's most complex supply chain, logistics and labor challenges in real time. Continue Reading
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News
16 Mar 2026
Zoom integrates agentic AI across platform portfolio
AI Companion 3.0 is breaking down communications silos across meetings, calls, chat and contact center. New custom AI agents also automate sales, IT and marketing workflows. Continue Reading
By- Katherine Finnell, Senior Site Editor
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Feature
16 Mar 2026
Is the AI memory shortage stifling enterprise adoption?
Enterprises bought up computer memory to fuel AI adoption. Now, amid a memory shortage, analysts share insights on what this means for enterprise AI adoption and what's next. Continue Reading
By- Everett Bishop, Associate Site Editor
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Feature
13 Mar 2026
Is GenAI villain and hero in data center power drama?
GenAI's infrastructure requirements drive up power demands for hyperscalers and other large data centers, but GenAI, and AI-based automation, could also help manage consumption. Continue Reading
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Feature
13 Mar 2026
AI-ready data needs its own set of rules, experts say
At Gartner's 2026 Data and Analytics Summit, AI-ready data was top of mind. Explore these best practices from experts on achieving data readiness for AI systems. Continue Reading
By- Olivia Wisbey, Site Editor
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Feature
13 Mar 2026
C-suite shakeup: Demand for chief AI officers accelerates
GenAI's infiltration into virtually every aspect of business demands the C-suite make room for a CAIO focused on AI development, strategy, implementation, education and governance. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Tip
12 Mar 2026
Why and how enterprises should build a green AI initiative
Executives making AI decisions must consider ethics, compliance and now environmental impact. Learn how green AI aligns governance and sustainability to improve digital strategies. Continue Reading
By- Damon Garn, Cogspinner Coaction
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Feature
11 Mar 2026
Q&A: Prioritize AI adoption while safeguarding human skills
In this Q&A, Gartner analyst Arun Chandrasekaran unpacks some of generative AI's invisible undercurrents and what to do about them. Continue Reading
By- Olivia Wisbey, Site Editor
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Tip
10 Mar 2026
Build trust on a federated governance model
Follow this practical blueprint to adopt a modern data governance approach that aligns people, processes and platform to deliver measurable results from AI across the business. Continue Reading
By- Tom Walat, Editor
- Andy Hayler, Information Difference
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Feature
09 Mar 2026
What CIOs can learn from Anthropic's safety pullback
Anthropic’s clash with the Pentagon shows how AI vendor safety policies can shift politically, forcing CIOs to strengthen governance and manage supplier risk. Continue Reading
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Feature
06 Mar 2026
GenAI streamlines enterprise knowledge management process
Business leaders sharpen insights, speed decisions and boost productivity using GenAI-powered knowledge management systems with their ability to unify and synthesize data. Continue Reading
By- Kinza Yasar, Technical Writer
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Feature
04 Mar 2026
Enterprise Connect 2026 brings AI from hype to reality
Enterprise Connect 2026 addresses AI adoption practicalities for UC and CX, including governance policies, AI silos, deepfake threats and industry-specific offerings. Continue Reading
By- Katherine Finnell, Senior Site Editor
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Feature
04 Mar 2026
How can AI help sustainability?
AI holds potential for sustainability, despite concerns of energy consumption and privacy. But it's too early in AI's lifespan to know its full environmental and social impacts. Continue Reading
By- Michaela Goss, Senior Site Editor
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Tip
04 Mar 2026
Tools and techniques for optimizing AI data pipelines
Enhancing the five critical stages of AI data pipelines is essential; it determines whether AI drives business value or becomes a drain on resources. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Feature
04 Mar 2026
How end-user computing is becoming a cost-control system
End-user computing has shifted from desktop support to a financial control plane, exposing SaaS sprawl, labor inefficiency and cost drift at the endpoint. Continue Reading
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Feature
03 Mar 2026
How GenAI deployments are redefining everyday work routines
GenAI deployments are making dramatic strides in boosting employee productivity, strategic analysis, software development cycles and customer service -- but not without risks. Continue Reading
By- Stephen J. Bigelow, Senior Technology Editor
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Feature
03 Mar 2026
AI data governance guidance that gets you to the finish line
As organizations dive into AI adoption, many realize the first real bottleneck is not the model but how to prepare their information so it can be used effectively in AI workflows. Continue Reading
By- Ed Scannell, Freelancer
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Feature
27 Feb 2026
AI transformation is inevitable but requires change management
Enterprises are split on AI adoption speed. While some take an aggressive workforce overhaul, others preach more careful change-managed strategies. Continue Reading
By- Jim O'Donnell, News Director
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Feature
27 Feb 2026
Is your business ready for an agentic AI team?
The race is on to implement agentic AI teams. But can your business successfully deploy and manage them before taking this next step in enterprise automation? Continue Reading
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Feature
26 Feb 2026
What Big Tech's AI spending means for your IT budget
Hyperscalers are spending billions on AI. CIOs can't match that scale -- but they can adopt smarter budgeting strategies to deliver measurable AI value. Continue Reading
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News
26 Feb 2026
Is Citrini Research's dark AI future a given?
Agentic AI might look good now, but it could have negative repercussions on the economy. So says a controversial thought experiment from Citrini Research. Continue Reading
By- Jennifer English, Editorial Director
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Feature
25 Feb 2026
How businesses can close the AI engineering gap
Amid growing concerns that AI is replacing jobs in several sectors, demand for AI engineers is surging as businesses employ several methods to overcome a severe skills shortage. Continue Reading
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Guest Post
25 Feb 2026
How agentic AI is changing work, strategy and competitiveness
AI agents are transforming work, business strategy and global competitiveness by enabling autonomous workflows, innovation and value creation in enterprises. Continue Reading
By- Kishan Kumar
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Feature
25 Feb 2026
Battle of the bots: Best GenAI chatbots for business
Businesses are deploying multiple GenAI tools to support productivity. Success requires choosing the right tools for the right use case and keeping a close eye on the outcomes. Continue Reading
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Feature
25 Feb 2026
AI job losses: Transformation expected, not mass layoffs
The increasing move of AI into the enterprise may cause job losses, but IT professionals say it will reshape roles and improve productivity rather than trigger mass layoffs. Continue Reading
By- Jim O'Donnell, News Director
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Tip
24 Feb 2026
7 practical tips for agentic AI cost optimization
Building an agentic AI cost-management framework requires unique considerations and details. These tips can help businesses get started. Continue Reading
By- Kashyap Kompella, RPA2AI Research
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Feature
23 Feb 2026
The AI bias playbook: Mitigation strategies for CIOs
From prioritizing data management to having a governance-first mindset, the C-suite can use the AI bias mitigation strategies in this playbook to limit AI bias risk. Continue Reading
By- Olivia Wisbey, Site Editor
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Tip
23 Feb 2026
The ethics that make human-AI agent collaboration work
Skepticism and distrust are common with new technology. Executives must develop a culture of trust with AI to ensure effective human-AI agent collaboration. Continue Reading
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