GDPR, AI intensify privacy and data protection compliance demands
This guide explores the increasing demands for data protection and privacy compliance driven by regulations like GDPR and CCPA, further complicated by the growing use of AI and advanced analytics. It offers insights into balancing data usage with ethical considerations, managing compliance efforts, and addressing new privacy challenges posed by AI applications.
Enabling hybrid work feature parity means new enterprise KPIs
Hybrid work environments require a new approach to performance measurement beyond traditional IT metrics like system availability. Companies must now focus on "experience parity" through new Key Performance Indicators (KPIs) to ensure all employees have a consistent and productive collaboration experience, regardless of their location or device. This involves defining acceptable parity, measuring factors like meeting quality and user satisfaction, and applying FinOps principles to cost-effectively address experience gaps for increased productivity and reduced support costs.
A look at HTTP's new QUERY method
In June 2026, HTTP introduced the new QUERY method, a general-purpose standard defined in RFC 10008, designed to handle large or complex read operations. This method provides a safe and idempotent alternative to GET and POST for queries, carrying content in the request body without altering server state. It offers greater reliability, observability, and compliance for repeatable queries, addressing limitations of traditional methods like URL size constraints and operational ambiguity.
The modern disaster recovery market explained
This guide explores the evolving disaster recovery market, emphasizing the rise of cloud DR, multi-cloud strategies, and the critical need for robust ransomware protection. It details how cybersecurity threats and changing IT landscapes have shaped modern DR approaches, stressing the importance of comprehensive business continuity and disaster recovery plans. The article also highlights the benefits of DRaaS and offers advice on testing and preparation for various DR solutions.
Zuckerberg's manifesto: Do Meta's promises and actions align?
Mark Zuckerberg's "AI manifesto," "The Future is for Everyone," outlines a vision of democratized AI and personal superintelligence agents. However, the article questions whether Meta's past actions and current capabilities align with this ambitious vision, particularly concerning its commitment to open-source principles and its standing in the competitive AI landscape. It suggests that Meta's public stance might be more of a PR move to position itself amidst stronger AI contenders.
AMA, DiMe launch AI framework for physicians amid rapid tech progress
The American Medical Association (AMA) and the Digital Medicine Society (DiMe) have released a new framework and roadmap for physicians navigating the rapidly evolving landscape of AI in healthcare. This initiative aims to define physicians' enduring responsibilities, emphasizing patient trust, clinical judgment, and safe implementation of technology, amid discussions about AI's potential to transform or even surpass human medical expertise. The framework outlines five key responsibilities for physicians and suggests collaborative actions for various stakeholders, including patients, developers, and policymakers.
Can Costco hack Medicare Advantage's consumer loyalty problems?
Costco is entering the Medicare Advantage market through a partnership with SCAN Health Plan, aiming to leverage its strong brand trust to simplify the consumer experience and address loyalty issues prevalent in the MA industry. This move seeks to differentiate itself from competitors by focusing on value and customer loyalty, similar to Costco's core retail strategy, as Medicare Advantage plans currently struggle with low member satisfaction.
IT vs. OT: Key differences explained
This article explains the key differences between Information Technology (IT) and Operational Technology (OT), highlighting that IT focuses on data while OT manages physical industrial operations. It discusses the growing convergence of IT and OT, driven by IoT and AI, which offers benefits like cost reduction and enhanced security, despite challenges such as device inventory, legacy systems, and data integration. The piece elaborates on the examples and use cases for both IT and OT, emphasizing how their convergence can lead to greater efficiencies and better decision-making processes.
Cutting through the Claude Mythos hype: What it means for CISOs
Anthropic's Claude Mythos AI model has generated significant buzz in the cybersecurity world due to its reported ability to find and exploit vulnerabilities at machine speed. While experts acknowledge the potential for an "unprecedented tsunami of vulnerabilities," there's also skepticism about the extent of the hype and whether the model's capabilities are truly unique to Anthropic. The discussion emphasizes the need for CISOs to reinforce cybersecurity fundamentals like patch management, vulnerability management, and zero trust, and to establish strong governance around AI adoption, regardless of Mythos's ultimate impact.
How CDOs can show the business impact of data
Chief Data Officers (CDOs) often struggle to demonstrate the financial value of data investments, despite growing AI spending. A four-part methodology can help CDOs prove value by moving beyond technical metrics to show the financial impact on operational efficiency, revenue, risk mitigation, and AI readiness. This involves connecting data initiatives to business goals, establishing baselines, tracking progress against these baselines, and quantifying ROI across multiple business dimensions.
AI model incidents highlight security concerns
Recent security incidents involving advanced AI frontier models from companies like OpenAI, Anthropic, and Meta have raised significant concerns about AI safety and security protocols. Seth Johnson, CTO at Cyara, discusses how these incidents highlight the need for enterprises to implement robust guardrails and testing environments, emphasizing that the "model problems" were often "harness failures" due to inadequate environmental protection. He stresses that companies using these LLMs are responsible for building their own guardrails and monitoring to prevent unintended behavior and reduce the "blast radius" of vulnerabilities.
AI sycophancy: When leaders are told what they want to hear
This article discusses AI sycophancy, where AI systems align with users' beliefs rather than providing objective analysis, posing a risk to leadership decision-making. It highlights how this bias can negatively impact strategic, personnel, and investment decisions, and offers strategies for leaders to identify and combat it. The author emphasizes the importance of scrutinizing assumptions and framing prompts as questions to ensure balanced AI insights.
Data observability specialist Bigeye puts focus on AI spend
Bigeye has launched Cost Anomaly Detection within its Agent Trust Hub to help organizations monitor and manage their AI spending. This new feature automatically alerts users to unexpected increases or decreases in AI agent costs, addressing a significant concern for enterprises moving AI initiatives into production. Analysts emphasize the importance of measuring AI agent spend to prevent governance failures and wasted resources.
GitHub outage had users weighing options, but finding few
A recent major GitHub outage, which affected critical services like GitHub Actions and Copilot for several hours, left many users frustrated and contemplating alternatives. However, the deep integration of GitHub Actions and the significant effort required for migration mean that switching platforms is not a viable option for most companies, despite the recurring reliability issues. While new competitors are emerging with agentic DevSecOps services, GitHub's substantial market lead and ecosystem make it difficult for users to transition away.
Oracle Health upgrades AI agent with coding, charting features
Oracle Health has expanded the capabilities of its Clinical AI Agent to include automated professional fee coding support, dictation features, and AI-assisted chart review. These upgrades aim to reduce manual work for clinicians, mitigate inaccuracies, and increase efficiency by integrating AI directly into clinical and revenue cycle workflows. The move comes as EHR companies continue an "AI arms race," with competitors like Epic also launching new AI-based functionalities to enhance clinical decision-making and streamline tasks.
3 considerations for health systems adopting AI chatbots
As health systems increasingly adopt AI chatbots, they must consider three key factors: proactively engaging with AI given the prevalence of commercial tools, carefully integrating AI with existing provider workflows to ensure value and uptake, and differentiating their offerings from Big Tech's commercial AI to capture high-intent users. The article emphasizes that health systems need to maintain patient relationships and trust, using AI to supplement care rather than replace direct provider interaction.
How providers can weather Medicaid cuts when many won't
Federal Medicaid reforms, including work requirements and tightened eligibility, are expected to significantly impact healthcare providers, with rural and Medicaid-dependent hospitals facing the greatest financial risks and potential closures. While some providers are innovating through technology and value-based care models to mitigate revenue losses, a substantial increase in uncompensated care costs and access barriers for vulnerable populations are anticipated. Patient education will be crucial to help individuals navigate new Medicaid requirements and maintain coverage.
Epic touts interoperability wins: 9B records exchanged, 60K orgs on TEFCA
EHR giant Epic announced significant progress in healthcare interoperability at its 2026 Users Group Meeting, having facilitated the exchange of 9 billion health records in 2025. The company also rolled out new capabilities including Care Everywhere Diagnostic Image Exchange for high-quality image sharing and an API for real-time prior authorization checks. Furthermore, over 60,000 organizations are now using Epic to connect to TEFCA, doubling last year's figures and underscoring Epic's growing influence on health data exchange.
Why businesses need an AI agent kill switch
Businesses are increasingly relying on AI agents for complex tasks, but these agents can malfunction and pose significant risks. This article emphasizes the critical need for AI kill switches as safety mechanisms to halt, isolate, or disable rogue AI agents. It details various types of kill switches, implementation steps, and design principles to ensure business operations are maintained and potential disasters are mitigated.
8 of the top employee experience platforms
This article identifies and describes 8 top employee experience platforms that CHROs can implement to enhance worker satisfaction and retention. It reviews tools like Assembly, Google Suite, HiBob, Lattice, Microsoft Office 365, Slack, SuccessFactors, and Zendesk, highlighting their pros, cons, and specific functionalities. The platforms aim to improve communication, streamline HR processes, offer learning opportunities, and manage benefits.
AI agent security must move beyond human-in-the-loop, experts say
Experts at Black Hat 2026 argue that the traditional "human-in-the-loop" approach to AI agent security is not scalable and introduces too many bottlenecks for the rapidly expanding use of AI agents in enterprises. They advocate for action-driven security strategies, emphasizing principles like least privilege, understanding agent intentionality, and building robust guardrails based on learning from agent failures. The article highlights the need for better data infrastructure to support expert human review when necessary, especially as multi-agentic systems become more complex.
AI isn't breaking higher education – it's exposing the cracks
This article argues that AI is not breaking higher education but rather exposing its underlying "inherited architecture" and accumulated "technical and social debt." It likens the situation to an old house revealing structural issues when new technology is introduced. The author suggests that institutions often opt for temporary "patches" instead of addressing fundamental architectural mismatches, highlighting the need for leadership to diagnose and potentially "rebuild" outdated assumptions rather than just implementing new tools.
R1 to acquire Humata Health for AI-driven prior authorizations
R1 RCM is set to acquire Humata Health, a prior-authorization technology provider, to enhance its AI-powered Phare Operating System. This acquisition aims to accelerate the prior authorization process using agentic AI, moving R1 closer to an autonomous revenue cycle platform and addressing inefficiencies and delays in healthcare. The deal is expected to close by the end of the third quarter of 2026, with Humata Health integrating into R1's AI development team.
CISO's guide to decentralized identity: What works and what doesn't
This article provides a CISO's guide to decentralized identity, explaining its concept, strategic value, and challenges. It outlines when decentralized identity is most beneficial, such as in distributed, high-trust environments, and discusses the complexities it introduces, including compliance and integration issues. The author also offers a decision framework for leaders to assess if decentralized identity is a suitable approach for their organization.
Epic unveils AI-driven Ergo Visit at 2026 UGM
Epic has unveiled Ergo Visit, an AI-driven system designed to help healthcare providers prepare for appointments and leverage AI for care planning. The system integrates patient data from Epic EHR, MyChart, and Cosmos to provide actionable insights, with a key feature called "Best Care Choices for My Patient" that uses de-identified patient datasets to inform treatment decisions. Ergo Visit emphasizes the fusion of human intelligence and AI, recognizing the unique strengths each brings to patient care.
Five pressures that break AI programs after the pilot
This article highlights why many AI pilot programs fail to scale to production, attributing the issues not to model capability but to inadequate data foundations. It identifies five key pressures: data readiness speed, inference cost, scaling controls, data trust from lineage/freshness, and governance. The author argues that successful AI rollouts prioritize data integration, governance at the pipeline level, and engineered data flows rather than just building larger models.
How a clinical-reasoning framework can help improve smaller AI models' performance
Researchers from Carnegie Mellon University, Weill Cornell Medicine, and Indiana University School of Medicine have developed a framework called Differential Reasoning Learning (DRL) to improve the performance of smaller, more affordable AI models in clinical decision-making. This framework compares smaller AI models against larger ones and human physicians' reasoning to identify and correct errors like omissions and hallucinations. The goal is to make high-quality AI more accessible and cost-effective for small and rural hospitals, especially for critical tasks like patient discharge decisions.
Decommission legacy UC hardware before copper sunsets
As carriers accelerate the retirement of copper lines, organizations must have a strategic plan to decommission legacy unified communications (UC) hardware, including often-overlooked analog devices like alarm systems and elevator phones. The article details migration paths such as UCaaS and SIP trunking, while also emphasizing the need to address hidden UC hardware with analog telephone adapters (ATAs) and comply with critical regulations like Kari's Law and RAY BAUM's Act. It provides a seven-step guide for a successful decommissioning strategy, covering identification, dependency mapping, data safeguarding, cybersecurity, and testing.
Why call deflection is no longer the contact center's north star
Contact center leaders have historically focused on call deflection to reduce costs and call volumes, but this metric alone is no longer sufficient. The article argues that a sole focus on deflection can lead to poor customer satisfaction and increased customer effort, especially for complex issues. Instead, contact centers should prioritize resolution quality, customer effort, and reduced repeat contacts, shifting from a cost-center mindset to a relationship investment mindset.
Snowflake targets cost of AI with dynamic model routing
Snowflake has introduced dynamic model routing in its Cortex AI Gateway to help organizations manage the escalating costs of developing and managing AI applications. This new feature automates model selection, balancing cost and performance by matching task complexity to the optimal model. The company is also expanding access to various models, including those from DeepSeek and Z.ai, to provide more flexibility and cost control for its users.
What Meta's RE100 exit means for tech's clean energy commitments
Meta has exited the RE100 renewable initiative amidst growing demand for AI data centers, which is pushing the company to rely on natural gas and employ questionable clean energy accounting methods. This move highlights the conflict between rapid AI expansion and existing clean energy commitments, prompting concerns about greenwashing and a broader reckoning for tech companies' environmental claims. The article suggests that other hyperscalers may follow suit and advises CIOs to scrutinize vendor sustainability claims more deeply.
Informa TechTarget Launches B2B AI Authority Index
Informa TechTarget has introduced the B2B AI Authority Index, a self-assessment tool designed for marketers to evaluate their brand's influence in AI-mediated buying journeys. This index helps identify strengths and weaknesses across 24 questions, categorizing brands into four archetypes: The Newcomer, The Contributor, The Referenced, and The Authority. It aims to guide marketers in strengthening their brand's visibility and recommendation potential as AI increasingly shapes B2B purchasing decisions, with 94% of buyers currently using AI tools in their research.
Tips for the governance of AI-generated and synthetic data
Organizations are largely unprepared for the rapid growth of AI-generated content and synthetic datasets, necessitating robust governance frameworks. This article highlights the fundamental differences between traditional, AI-generated, and synthetic data, outlining the risks associated with unmanaged AI-generated content. It proposes a practical AI data lifecycle policy encompassing inventory, classification, provenance capture, retention, access control, and continuous refinement to ensure privacy, compliance, and auditability.
The hybrid future of enterprise AI sovereignty
As AI becomes critical infrastructure for enterprises, the question of AI sovereignty is paramount, especially with increasing regulations and geopolitical tensions. Businesses are adopting selective or hybrid AI sovereignty to manage compliance, avoid vendor lock-in, and mitigate risks, focusing on data control, model portability, build-versus-buy frameworks, and compliance management. This approach allows them to maintain control over essential AI aspects without completely forfeiting innovation or relying solely on external technologies.
Building trust: Engaging communities in data center development
Data center development requires early and effective community communication to address concerns and prepare IT leaders for stakeholder interactions. Modern data centers, especially those for AI, have highly visible impacts like electricity demand and land use, necessitating clear articulation of local value propositions beyond business rationales. Proactive communication helps mitigate risks, establish fact-based conversations, and allows time to explain technical trade-offs before project parameters are fixed, fostering trust and preparedness.
When cloud PCs make more sense than another hardware refresh
Hybrid work models are driving organizations to re-evaluate traditional endpoint management, leading to increased consideration of cloud PCs, DaaS, and VDI as alternatives to hardware refreshes. This article explores the differences between these technologies, outlining when cloud PCs are a suitable choice based on factors like cost, scalability, and user experience. It also provides guidance on governance and key questions IT leaders should ask before adopting a cloud PC strategy.
Health systems test real-time prior auths through Epic
Four health systems—Ochsner Health, Froedtert ThedaCare, Denver Health, and Summit Health—are piloting Epic's new Coverage Requirements Discovery (CRD) API to streamline prior authorizations for major insurers. This API integrates prior authorization requirements directly into the EHR system at the point of scheduling or order placement, aiming to reduce administrative burden and comply with upcoming federal interoperability rules. The initiative seeks to make real-time prior authorizations possible, addressing a long-standing pain point for providers and improving patient care efficiency.
AI scribes may miss critical SDOH data. Here's how to close the gap.
AI scribes, while beneficial for clinician productivity, may unintentionally worsen social determinants of health (SDOH) data capture due to limitations in understanding indirect communication, accents, or non-verbal cues. Healthcare providers can mitigate these issues by implementing structured screening steps, maintaining audit trails for recorded interactions, adapting AI scribes to specific healthcare settings, and involving patients in the decision-making process. These measures can help ensure that critical SDOH information is accurately documented and integrated into patient care.
Energy efficient storage architecture in the AI era
The article discusses the critical need for energy-efficient storage architecture in the AI era, as AI workloads significantly increase power consumption in data centers. It highlights how storage contributes to the overall power bill and introduces intelligent storage tiering as a strategy to reduce energy usage by matching data access frequency with appropriate storage types. The author emphasizes that optimizing storage power consumption not only lowers operating costs but also helps free up power for AI infrastructure and supports sustainability goals.
Effective ways to contain your cloud spending
This article discusses strategies for optimizing cloud spending, highlighting common pitfalls like inappropriate resource sizing and unnecessary data transfers. It offers guidance on how to avoid these mistakes, minimize scaling costs, and effectively utilize cloud cost calculators to ensure organizations benefit from the cloud model without incurring excessive bills. The piece emphasizes the importance of closely tying cloud spending to actual organizational needs.
Multi-cloud adds worries to the cost of cloud services
Many businesses are adopting multi-cloud strategies, either intentionally or accidentally, leading to increased complexity in assessing and controlling cloud service costs. While multi-cloud offers diverse services and resilience, organizations often face concerns about overspending, especially if they expected cost savings. This handbook explores the challenges of managing cloud costs in multi-cloud environments and strategies to mitigate them.
Lynrock Lake reports 8.75M-share TechTarget (TTGT) position, a 12.1% stake
Lynrock Lake LP, Lynrock Lake Partners LLC, and Cynthia Paul have reported a beneficial ownership of 8,751,835 shares of TechTarget (TTGT) common stock, representing a 12.1% stake. This information is based on an amended passive investment disclosure (SCHEDULE 13G/A) filed as of June 30, 2026. The shares are held by Lynrock Lake Master Fund LP, with Lynrock Lake LP acting as the investment manager and Cynthia Paul exercising voting and investment power.
IPO inevitable for Databricks after adding $5B in funding
Databricks recently closed a $5 billion funding round, bringing its total financing to over $32 billion and valuing the company at $190 billion. While Databricks has successfully raised substantial private capital, analysts suggest an eventual IPO would offer greater advantages, including flexibility for expansion and increased credibility with customers. However, the timing of an IPO depends on external market conditions and the company's ability to maintain its growth trajectory and integrate its expanding technological offerings.
What to know about container management tools
This article discusses the growing importance and challenges of container management. It highlights that while container adoption is increasing, its complexity necessitates the use of container management tools to ensure efficient deployment and operation. The article aims to guide organizations in selecting the right tools by outlining available options and key considerations.
New types of cloud services bring the cloud to you
Cloud service providers are now focusing on bringing their services directly to customers' data centers, moving beyond their initial push for public cloud adoption. This shift involves offering tools and appliances to facilitate hybrid environments, providing a common software stack for seamless integration between on-premises data centers and cloud resources. This handbook explores these new services and their potential benefits for organizations seeking to combine cloud and on-premises environments.
Weekly news roundup: Claude watermark controversy and Nvidia $500 billion deal
This weekly tech news roundup covers several significant developments, including Anthropic's new AI watermarking features for Claude, Elon Musk's plan to train Grok on SpaceX employee data, TikTok's stricter return-to-office policy, and Nvidia's landmark $500 billion financing initiative for AI infrastructure. The article also provides updates on executive moves and recent IPOs in the U.S. market.
What the 2026 Global Risks Report means for CIOs
The 2026 Global Risks Report from the World Economic Forum highlights how geoeconomic fragmentation, AI governance gaps, and cyber threats directly impact enterprise technology, shifting the focus for CIOs from efficiency to resilience. CIOs must lead in developing adaptable architectures, diversifying vendors, and implementing robust AI governance frameworks to navigate this increasingly turbulent global landscape. The article emphasizes that managing global risks is now a core CIO responsibility, requiring strategic flexibility and proactive decision-making.
Black Hat NOC sees AI security failures firsthand
The Black Hat Network Operations Center (NOC) has observed a disturbing trend: as AI adoption increases, cyber-risk is also rising, with a decline in encrypted traffic. They found instances of major companies exposing sensitive systems due to misconfigured AI tools and "vibe coding" leading to insecure applications. The NOC advises CISOs to prioritize fundamental cybersecurity practices, validate configurations, and leverage network visibility tools to mitigate these growing risks.
Uniphar taps Diagrid Catalyst for orchestration, observability
Uniphar Group, a global healthcare services company, has migrated from open-source Dapr Workflows to Diagrid Catalyst for its cloud cost management system. The move was primarily driven by Catalyst's integrated observability dashboards, with future plans to leverage its AI agent orchestration and governance capabilities. Diagrid Catalyst 2.0 further enhances AI agent support with digital verification and compliance features, addressing the growing need for AI governance in enterprises.
What AI-native analytics startups offer that BI vendors don't
The BI and analytics sector is experiencing significant disruption due to AI, creating challenges for traditional BI vendors and opportunities for AI-native analytics startups. These startups, unencumbered by legacy systems, are developing platforms that offer advanced natural language processing and agentic AI capabilities to streamline data analysis and insight generation. Companies like Golden Analytics and Gravity are attracting significant investment and user interest by focusing on efficiency for individual analysts and autonomous enterprise-level analytics, respectively.
