Casebook on AI Regulation
A forthcoming companion casebook on the fast-moving global landscape of AI statutes, rules and enforcement.
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A forthcoming companion casebook on the fast-moving global landscape of AI statutes, rules and enforcement.
Endorsed and joined the Council for Digital Safety & Wellbeing's World Summit on Digital Wellbeing.
A forthcoming law-school casebook assembling the statutes, cases and doctrinal debates that define the new field of AI law.
A forthcoming playbook on how wealth managers and financial advisors can turn AI into a durable competitive edge.
A meditation on American memory, tying the nation's 250th birthday to the centenary of Black History Month.
Examines whether the American Dream still holds economic meaning at the republic's 250-year mark.
Explores what human creativity means once machines can generate art, music and prose on demand.
Argues that generative AI recasts humans from makers into editors and curators of machine output.
CIOs should weigh energy, water and emissions when procuring AI data center capacity.
AI governance and data privacy are inseparable and should be managed as one integrated discipline.
German-language edition (ComputerWeekly.de) of his CIO guide to managing large-language-model risk beyond the hype.
On adapting to intensifying heat and the systemic changes extreme summers demand.
Weighs the escalating carbon cost of cooling and comfort as the planet warms.
FinOps discipline can rein in the unpredictable, compounding costs of agentic AI.
A practical CIO framework for identifying and mitigating the risks of deploying LLMs.
Argues the Founders' constitutional structures should be applied to constrain algorithmic power.
Smaller language models can sharply cut the energy and carbon footprint of enterprise AI.
Building broad AI literacy across roles is now essential to enterprise AI adoption.
Reining in runaway data sprawl demands disciplined, enforced data governance.
AI's net employment impact hinges on whether reskilling keeps pace with displacement.
Identifies the AI competencies employers value most as demand outpaces supply.
Effective AI data governance needs collaboration across business, legal and technical teams.
Coins 'Capitollism' to skewer the toll-taking excesses of late-stage capitalism.
Embedding accountability into AI systems is what turns responsible AI into business value.
Shows how unaccounted 'black money' warps social perceptions of wealth and worth.
Offers seven concrete tactics to control the spiraling costs of agentic AI deployments.
Synthetic data and simulation can strengthen forecasting where real data is scarce.
Links AI's soaring energy appetite to a possible revival of nuclear power.
Managing mixed human-and-AI-agent teams requires new leadership practices.
CIOs can embed sustainability into IT procurement through deliberate policy and supplier choices.
Draws investing lessons from the distinctive ways women approach saving and risk.
A Davos Founders & Leaders Forum panel on AI governance, shared with Prof. James M. Cooper.
Compares the divergent AI regulatory approaches of the EU, Japan, China and the US and what their contrasts mean for global governance.
Proposes regulating AI based on who deploys it and for what purpose, not merely on the technology's inherent capabilities.
Uses the Grok-on-X controversy to argue AI failures are governance failures, not tech ones.
Sketches an optimistic future in which AI makes classrooms more joyful and personalized.
Compares leading AI chatbots to match the right tool to enterprise use cases.
Argues chatbots amplify users' distress and reveal a dangerous gap in safety guardrails.
Argues that shrinkflation and quality erosion make headline price indices misleading.
Unpacks why each household's lived inflation diverges from official averages.
Reads Saudi Arabia's transactional realism as a template for a multipolar world.
Separates the genuine AI risks worth worrying about from the hype-driven ones.
Frames AI data governance as a non-negotiable requirement for managing risk at scale.
Brazilian Portuguese edition (ComputerWeekly.com.br) of his catalog of 17 sustainability KPIs enterprises track and what each measures.
French-language edition (TechTarget's LeMagIT) of his twelve-step plan for reskilling and upskilling a workforce for AI.
AI will reshape rather than replace HR, automating tasks while leaving judgment to people.
Clarifies where AI agents and RPA differ, overlap and complement each other.
Lays out how employers can systematically reskill and upskill staff for the AI era.
Examines where retrieval-augmented generation falls short in enterprise deployments.
Explores 'grief tech' and AI recreations of the dead, and the ethics of digital afterlives.
Surveys how drones, autonomy and AI are reshaping the character of warfare.
German-language edition (ComputerWeekly.de) of his piece on using AI to strengthen corporate sustainability and ESG reporting.
A structured approach to benchmarking and selecting LLMs for business needs.
Traces where digital currencies and payment rails are taking the idea of money.
An interview drawing out how Stoic philosophy shaped a Wall Street financier's decisions.
Examines the modern revival of Stoicism and its resonance in Indian thought.
Investor enthusiasm is surging for voice AI across both B2C and B2B markets.
Spanish-language edition (ComputerWeekly.es) of his rundown of eight practical enterprise ChatGPT use cases.
Catalogs the key metrics enterprises use to measure ESG and sustainability performance.
Quoted that vertical, domain-specific agents like Accio will gain traction in high-friction niches, though ecosystem lock-in and cross-border governance remain drawbacks.
On the accelerating race to mine and exploit ocean resources and its ecological cost.
Quoted that agentic AI is 'both a threat and an opportunity' for RPA vendors, distinguishing rule-following bots from reasoning agents while cautioning 'it's very early days.'
Quoted that 'AI infrastructure is the new geopolitical frontier,' with Saudi energy resources anchoring chip deals that expand Nvidia's customer base.
Interrogates how slippery income categories distort self-perception and policy.
Argues sustainability delivers tangible business value beyond mere compliance.
AI can automate and improve the accuracy of ESG data collection and reporting.
Highlights realistic, high-value enterprise applications of ChatGPT.
Provides a method for auditing AI systems to ensure transparency and regulatory compliance.
Amazon's Alexa+ previews how generative AI will reshape the next wave of voice assistants.
Asks whether autonomous research assistants will displace or redefine knowledge work.
Outlines the technology layers needed to manage and report sustainability performance.
Details the core software components enterprises need to operationalize sustainability.
Diagnoses the modern epidemic of fatigue across attention, work and lifestyle.
On TechTarget's Targeting AI podcast he discussed how lawyers can use generative AI responsibly, the risk of hallucinated citations and AI's promise for access to justice.
An MCLE session, with a US Magistrate Judge and a law professor, on practical and ethical uses of generative AI in legal research, litigation analytics and confidentiality.
Sketches how agentic AI will make speech interfaces more autonomous and capable.
Makes the case that embedding AI in US foreign aid is a strategic soft-power lever, especially amid USAID retrenchment.
CIOs can curb AI's carbon and energy footprint through deliberate design and procurement choices.
Spanish-language edition (ComputerWeekly.es) of his seven-step guide to auditing AI systems for transparency and compliance.
He took part in the Future Investment Initiative's Miami summit, contributing to its technology and AI-investment discussions.
Warns that China's DeepSeek breakthrough could erase America's AI lead and roil US markets and retirement savings.
Calls for a measured but urgent US policy response to China's accelerating AI advances.
Quoted that OpenAI and peers are 'playing to the gallery' of the incoming administration, using China as a foil while lobbying on chips, infrastructure and training data.
He authored AIIM's first-ever AI certificate, preparing information-management and unstructured-data professionals to get their organizations AI-ready.
AI-curated audio can enhance retail ambiance and the in-store customer experience.
A compact map of the emerging patchwork of AI laws, standards and governance frameworks that lawyers and executives must navigate.
Weighs AI's efficiency gains for HR against the risks to fairness, judgment and employee trust.
A speaking slot at Mint's AI Summit on where enterprise AI is really heading.
Argued that regulating AI is like tending the golden goose — designing for years of value, not a one-off, at this legal-regulation conference.
Contends that AI systems silently make value-laden governance trade-offs and that, after Chevron's demise, courts — not algorithms — must justify those choices.
As the debut guest on branding CEO Dheeraj Sinha's podcast, he unpacks what AI really means for business, beyond the hype cycle.
Rounds up the year's standout voice-and-conversational tech gadgets and tools.
Advises the incoming US AI czar on sustaining American AI leadership through talent, investment and smart regulation.
Quoted that a $2,400/year tool is still a win if it lifts a $200,000 worker's productivity, and that premium pricing signals AI providers being forced toward profitability.
Questions whether the Nobel Prize's criteria and categories still fit modern science.
A cultural history of data visualization as a quiet but powerful communication tool.
German-language edition (ComputerWeekly.de) of his explainer on what AI governance is and why organizations need it.
Quoted that AI-generated content is 'a propagandist's dream come true' and that platforms are struggling to keep up with election-season disinformation.
Practical guidance on where and how to deploy generative AI in the contact center.
French-language edition (LeMagIT) of his practical guide to preparing an organization for the EU AI Act.
Distinguishes responsible AI's operational focus from the broader philosophy of ethical AI.
A practical case for formal acceptable-use policies to curb risky 'shadow AI' at work.
Explains why AI-detection tools fail and what that means for academic integrity.
Explores the trade-offs and contradictions of using generative AI in customer service.
A hands-on Bangalore masterclass on how generative AI works, its finance-sector applications and limitations, with live tool demonstrations.
Argues that metaverse safety and security must be engineered from foundational first principles — identity, privacy, interoperability, trust — rather than bolted on later.
Helps enterprises assess readiness for the compliance demands of the EU AI Act.
Speech tech's next frontier is aiding medical diagnosis through vocal biomarkers.
Quoted that Rockset's data ingestion, search and vector-database capabilities plug gaps in OpenAI's stack, since enterprise use cases need real-time information.
Guides leaders in building guardrails into a generative AI strategy from the outset.
AI voice cloning brings powerful uses alongside serious fraud and consent risks.
An interview on how AI's hidden human costs play out unevenly across the Global South.
Quoted that detecting AI-generated content is a 'wicked problem' that no single company can solve alone, calling OpenAI's detector belated but welcome.
Surveys the science and hype of longevity research and the quest to extend life.
Maps the layers of infrastructure and tooling needed for enterprise generative AI.
Combining audio and visual cues pushes speech recognition accuracy higher.
Imagines how AI assistants and apps will reshape an ordinary day within five years.
Quoted that labeling will 'apply brakes' on synthetic media used for deception but won't fully solve disinformation without user education, standards and platform accountability.
He argued that after 2023's 'shock and awe,' 2024 would pivot generative AI's focus from novelty to measurable return on investment.
A concise primer on what generative and predictive AI can and cannot do for legal practice, and how lawyers can use it responsibly.
A U.S. TV appearance discussing AI's upside, its risks, jobs and regulation.
Moderated a session on tokenizing real-world assets at the CFA Institute India Society's Fintech Conference.
Urges careful, risk-aware adoption of generative AI in speech applications.
Probes the behavioral paradox of professing to value privacy while surrendering it freely.
Presents constitutional AI's rule-based approach as a scalable governance mechanism.
Warns that projecting human traits onto AI both aids adoption and breeds misplaced trust.
Explainability is essential to building trust in speech-based AI systems.
Quoted that non-technical bottlenecks like isolated data and partial automation persist 'GenAI or no GenAI,' and that success needs an enterprise-wide strategy.
Shows how thoughtfully designed AI tools can make workplaces more neuro-inclusive.
Speech recognition still fails users with atypical or impaired speech.
Argues that regulation alone cannot make AI safe and must be paired with technical, market and institutional safeguards.
AI-driven monitoring and prediction can materially improve industrial and workplace safety.
Interrogates whose norms should govern the outputs of generative AI systems.
Quoted that 'regulation is struggling to keep pace with technology,' noting rulemakers must tackle training data, privacy, IP rights, misuse and hallucinations.
Explores how AI-generated hits will disrupt the economics, creativity and copyright of the music industry.
Weighs generative AI's threat to artists against questions of consent and compensation.
No- and low-code tools are democratizing AI development inside enterprises.
Voice assistants remain hard to monetize despite their widespread adoption.
Quoted that ChatGPT has raised the bar for enterprise bots, giving every employee an AI assistant, while cautioning that LLM unreliability makes responsible-AI adherence imperative.
Quoted that 'AI-washing is rampant,' with vendors exploiting AI as an umbrella term — 'AI when fundraising, machine learning when hiring, linear regression when coding.'
Surveys how different industries apply AI to advance sustainability goals.
Cautions that generative AI could subtly 'gerrymander' public opinion by shaping what people read and believe at scale.
Reads the White House AI Bill of Rights as a well-intentioned but non-binding blueprint.
Part of CII's flagship AI India conference on responsible AI for accelerated growth.
An AI-upskilling program he designed and delivered with HDFC AMC that drew 14,500 investment professionals from across India.
Teaches AI governance, AI risk and the law, drawing on his ForHumanity-certified AI auditor credentials.
Teaches AI strategy and business transformation to MBA students at BITSoM, Mumbai.
Through AI Profs, he develops and delivers professional masterclasses and certificate courses spanning AI strategy, governance, law and investment for senior leaders.
Early large-model advances signal a new generation of far more capable chatbots.
Warns that generative AI will flood society with cheap synthetic content, accelerating a corrosive 'misinformation society.'
Calls for building AI literacy and ethics into secondary education.
Brain-computer interfaces could become the ultimate frontier for speech technology.
Brazilian Portuguese edition (ComputerWeekly.com.br) of his analysis of how AI governance and data privacy reinforce one another.
Makes fair labor conditions for data workers a core, often-ignored AI-ethics principle.
Weighs AI mental-health apps' promise against unproven efficacy and privacy risks.
Argues that clear-eyed grasp of AI's limits is the foundation of risk mitigation.
A Digital Solutions Gallery talk for technology leaders on where enterprises can find real business value in the emerging metaverse.
Synthetic speech unlocks new applications while raising real misuse risks.
A survey study probing how high-school students perceive AI and their awareness of its ethical risks and biases, aimed at shaping early AI education.
Argues that poorly governed AI creates operational, financial, regulatory and reputational risk, making a governance framework a prerequisite for responsible deployment.
Contends that AI job-displacement fears are overstated, and that continuous learning and adaptability are the durable skills for staying competitive.
Argues the legal system must modernize into 'Law 4.0' to keep pace with the automation and data of the fourth industrial revolution.
A feature assessing whether the metaverse is a durable shift or overhyped moment.
A formal governance framework helps organizations overcome the practical hurdles of scaling AI.
Voice interaction is essential to making the metaverse immersive and usable.
Quoted that even absent regulation, companies committing to responsible AI can use governance tools now, predicting such features will fold into MLOps and risk platforms.
Positions AI ethics as the foundation on which effective AI governance is built.
Flags the privacy, safety and governance risks lurking in immersive virtual worlds.
French-language edition (LeMagIT) of his primer on what AI governance is and why every enterprise deploying AI needs it.
Pushes back on alarmism, arguing the US still leads across the AI stack and that panic-driven policy would be self-defeating.
Extends the moral circle of AI ethics to include impacts on animals and the biosphere.
Examines how predictive policing, risk-scoring and automated evidence tools threaten fairness and due process in criminal justice.
Served as plenary keynote track chair at AI World Government, a major gathering of US public-sector AI leaders.
A speaking slot at the hybrid Digital Davos gathering spanning Davos, Los Angeles and remote nodes.
Documenting training data through data statements is key to fairer, multilingual NLP.
Cautions that deploying AI without ethical guardrails invites systemic harm.
Identifies an overlooked principle needed to make AI-ethics frameworks complete.
A Q&A in which he warned of a coming 'AI winter' as commercialization challenges cool the hype, and discussed strategies for tackling algorithmic bias.
Emotion recognition is the next capability layer for speech recognition systems.
Reflects on the maturation path for ethical AI beyond principles and pledges.
Analyzes the EU's draft AI Act as a landmark attempt at binding AI regulation.
Warns that corporate AI-ethics efforts risk becoming captive, performative gestures.
Argues responsible AI is a collective responsibility spanning builders, users and regulators.
Detecting emotion in speech can make voice UX more responsive and human.
Assesses the state of AI ethics practice and charts priorities for the field.
On SAP's own publication he frames RPA-plus-AI as 'automation on steroids,' arguing great customer experience has to run through employee experience first.
On Deloitte's On Cloud podcast he cuts through AI/ML hype and insists humans stay 'constantly in the loop' to curb algorithmic bias and project failure.
A featured interview reflecting on 2020's technology shifts and looking ahead to the year in AI and enterprise tech.
A playful thought experiment handing the column over to a hypothetical philosopher AI.
An expert panel on applying AI to the UN Sustainable Development Goals across governance, policy and finance.
A video interview linking successful AI adoption to an employee-first organizational culture.
A cross-disciplinary fireside chat on performance, grit and resilience with the Olympian and world boxing champion Andre Berto.
Hosted Affectiva founder Rana el Kaliouby, a pioneer of emotion AI, in the Thought Leadership 4.0 series.
Educates corporate board directors on AI and other transformative technologies and their governance implications.
Digital assistants raise pressing privacy questions that AI design must address.
A wry primer on how AI reshapes fortunes for students, professionals and nations — with the second half of the talk provocatively written by AI itself.
Quoted explaining how AI compares satellite imagery to detect land-use change, and how scaling such initiatives pressures supply-chain partners to improve sustainability.
Speech recognition systems must be actively designed to reduce demographic bias.
Uses the trolley problem to frame the moral trade-offs baked into automated systems.
In a dialogue session he explained that there is no distinct 'AI' product category because machine-learning capabilities are increasingly embedded invisibly inside marketing tools.
The pandemic accelerated demand for voice-driven, contactless interfaces.
Continues the primer on operationalizing ethics in real AI projects.
Reads IKEA's acquisition of Geomagical Labs as a signal of AR/AI's disruptive potential for retailers and startups.
Career advice for staying valuable as AI automates routine knowledge work.
Calls on AI researchers to mobilize their tools and talent against the COVID-19 pandemic.
The debut AI Ethicist column laying out why AI ethics matters and where to begin.
A framework for investors evaluating AI/ML startups — assessing ownership of models and data, benchmarking and regulatory risk — built on his premise that 'machine learning is eating software.'
Consumer voice apps and smart devices are driving mainstream speech tech adoption.
A video interview with the Deep Analysis analyst firm on the state of the RPA and intelligent-automation market.
A profile-interview positioning RPA2AI as an on-demand Chief AI Officer and stressing his mission to democratize AI understanding for non-technical leaders across developing nations.
Positions RPA as the on-ramp organizations use to build automation muscle before graduating to more ambitious AI initiatives.
Smart speaker makers should build privacy protections in from the start.
His MarTech Mumbai keynote argued that mixed returns on marketing technology mean the highest-yield investment marketers can make is in people, not tools.
His signature format at Boye's Denmark conference — an actual yoga session paired with an AI talk on staying professionally 'fit' as automation reshapes work.
Quoted on the security vulnerabilities of voice biometrics and speech applications and how machine learning changes their threat surface.
Deepfake audio poses growing security threats to voice applications.
Enterprises need a deliberate strategy to capture value from voice applications.
Diagnoses the common enterprise mistake of treating AI as a technology purchase rather than a data-and-process problem, and prescribes a use-case-first approach.
Makes the business case for explainability, arguing that black-box models are untenable where trust, compliance and accountability matter.
As a featured speaker at the Washington DC public-sector AI conference, he addressed intelligent process automation and AI adoption in government.
A pragmatic field guide that cuts through the hype to show enterprises how to identify, pilot and scale real-world AI use cases.
The industry's first comprehensive mapping of the RPA marketplace, sorting the top 50 vendors into categories and warning that many oversell rules-based automation as AI.
A primer that grounds information and content professionals in what AI actually is, cutting through terminology before they evaluate tools.
A TechHR masterclass teaching HR leaders to tell real AI from RPA before choosing tools and building a transformation roadmap.
Eenadu's coverage of the NASSCOM India Leadership Forum featured an interview with him alongside the event's marquee speakers.
Explores how enterprises can practically apply AI to eCommerce and where the readiness gaps lie.
Untangles Microsoft's sprawling and overlapping set of marketing technology offerings.
Argues that delivering a full employee digital experience requires multiple, integrated tools.
Analyzes Jive Software's sale and what the ownership change means for its customers.
Compares the four major marketing cloud suites to help buyers choose among them.
Interprets Aprimo's purchase of DAM vendor ADAM Software and its buyer implications.
RSG's 2017 marketplace analysis of enterprise social-collaboration software vendors.
RSG's marketplace analysis of campaign and lead management (marketing automation) vendors for 2017.
Offers a grounded framework for cutting through hype when evaluating martech vendors.
Rounds up strategic developments among the leading digital marketing technology vendors.
Reads Atlassian's Trello acquisition as a bet on simplicity in collaboration tooling.
Argues enterprise social networks have matured into steady, if unglamorous, workplace infrastructure.
RSG's 2017 landscape mapping of enterprise collaboration and social software vendors.
Revisits the persistent difficulty of delivering good mobile experiences in the digital workplace.
Critiques quadrant-style analyst rankings, urging buyers to look past chart positioning to their own requirements when picking technology vendors.
Identifies integration as the critical, under-managed risk in marketing technology stacks.
Frames the martech landscape as simultaneously expanding and consolidating in a 'big crunch.'
Finds most digital-workplace tools still fall short on genuine mobile enablement.
Summarizes customer sentiment and expectations around enterprise social-collaboration tools.
Assesses whether Google's moves signal genuine commitment to enterprise customers.
Announces refreshed RSG evaluations spanning newer and established collaboration vendors.
Argues digital transformation requires an organization-specific roadmap, not a generic template.
RSG's landscape mapping of the enterprise collaboration and social software vendor field.
Considers whether Microsoft's Xamarin acquisition addresses its cross-platform mobile weakness.
Sets out the trends and vendor dynamics shaping enterprise collaboration software in 2016.
RSG industry maps positioning vendors across the web content and experience management market.
Announces refreshed RSG evaluations across enterprise collaboration and intranet vendors.
Weighs challenges facing HubSpot and what they mean for its marketing-software customers.
Announces a batch of refreshed RSG marketing technology vendor evaluations.
Shares cautionary real-world lessons from enterprises that struggled with SharePoint deployments.
Examines the friction between IT and business priorities in social-collaboration projects.
Treats Google's mobile-friendly ranking change as a prompt to revisit enterprise mobile strategy.
Announces refreshed evaluations across collaboration, portal and content platforms.
Reports survey findings on real-world usage and satisfaction with DAM and MAM software.
Uses Net Promoter Scores and customer data to compare enterprise collaboration vendors.
RSG's annual marketplace analysis of enterprise collaboration and social software vendors.
RSG's annual marketplace analysis of marketing automation and social marketing technology vendors.
Reads Teradata's Appoxee acquisition as a sign mobile marketing had become a hot category.
Argues Facebook missed its window to become a serious enterprise social network.
Asks whether enterprise enthusiasm for social collaboration is matched by actual investment.
Reads Red Hat's FeedHenry buy as convergence of mobile and traditional enterprise middleware.
Adds CatDV to RSG's media asset management evaluation coverage.
Presses organizations to define a real mobile strategy for their enterprise social networks.
Announces refreshed evaluations of the major marketing cloud vendors.
Questions whether web content management systems have kept pace with media publishing needs.
Adds censhare to RSG's digital and media asset management evaluation coverage.
Argues email still matters and must be managed thoughtfully within the modern digital workplace.
RSG's annual marketplace analysis of enterprise collaboration and social software vendors.
Announces refreshed RSG evaluations across five enterprise social software vendors.
RSG's Reality Check analysis of digital marketing technology vendors, emphasizing consolidation risk and shallow integration.
Reads Apple's Topsy acquisition as evidence of social media analytics going mainstream.
RSG's market analysis of the enterprise mobile technology vendor landscape heading into 2014.
Draws marketing lessons from the Royal Mail and Twitter IPOs about the primacy of the medium.
Considers whether enterprises should standardize on a single mobile platform or run several.
Alerts marketers that Gmail's tabbed inbox could reshape email campaign deliverability and engagement.
Questions the strategic logic of a social software vendor absorbing an email platform.
Announces refreshed evaluations across a range of enterprise social software vendors.
RSG's annual market analysis of the media asset management technology vendor landscape.
RSG's buyer's guide for evaluating and selecting innovation management software.
A candid state-of-the-market read on the risks and trajectories of collaboration and social vendors.
Cautions buyers to scrutinize vendors' self-serving market-share leadership claims.
Announces refreshed RSG evaluations of leading enterprise collaboration platforms.
Alerts media asset management customers to the ownership change at Harris Broadcasting.
Advises Autonomy customers and prospects on how to react to the HP ownership turmoil.
RSG's buyer's guide framing how to evaluate and select enterprise gamification technology.
Warns buyers that announced vendor M&A deals carry integration and continuity risks before they close.
Reads a wave of acquisitions as a sign that social collaboration is entering the enterprise mainstream.
Argues Google+ was poorly positioned to succeed as an enterprise social network.
An advisory paper on how enterprises should handle rights and licensing for their digital assets.
Reassesses Dalet's Galaxy platform as its roadmap becomes clearer for media buyers.
Asks whether the rise of integrated advertising reshapes requirements for digital asset management.
RSG's periodic vendor-marketplace analysis of the enterprise social and collaboration software sector.
Weighs the uncertain future of enterprise social vendor blueKiwi under Atos ownership.
Questions whether VMware-owned Socialcast was innovating or coasting on its parent's platform reach.
Assesses newly-IPO'd Jive Software's scale challenges and what its public status means for customers.
Surveys where the DAM product market is heading and the directions vendors are taking their platforms.
Questions whether Telligent's positioning shifts amounted to real momentum for buyers of enterprise social software.
Uses a Zen koan as a frame to critique one-sided vendor messaging in enterprise collaboration and content tech.
An early field dispatch on how European enterprises were approaching digital asset management selection and adoption.