Appian World 2026 - Why Appian Says Serious AI Needs Serious Process
At Appian World 2026, CEO Matt Calkins argued that generative AI remains a breakthrough without the process infrastructure needed for enterprise‑critical use. He likened AI to the early light bulb, useful only when wired into reliable grids of standards, guardrails, and context. Appian unveiled AI‑agent enhancements, Model Context Protocol, and spec‑driven development, all framed as ways to embed AI within deterministic process flows. The message: serious AI requires deterministic process scaffolding to deliver trustworthy, ROI‑driving outcomes in regulated, mission‑critical work.
How Rising Storage Costs Are Forcing a Re-Think of Enterprise AI Data Strategies
Rising storage costs are forcing enterprises to rethink AI data strategies. In the last year, major storage vendors lifted prices by 10‑50%, prompting IT leaders to seek ways to stretch budgets while supporting AI workloads. Vendors such as Komprise, Hammerspace...
Inside Merck's Google Cloud Partnership - Data, People, and Not Chasing Shiny Tools
Merck (MSD) announced a multi‑year, up‑to‑$1 billion partnership with Google Cloud to build an agentic AI platform across its R&D, manufacturing and commercial functions. The deal focuses on co‑investing in data integration, process redesign and workforce upskilling rather than simply selling...
AI and Grocery - the UK's Leading Supermarkets Put AI Top of the Shopping List. The CEOs of Sainsbury's and...
UK grocery giants Sainsbury's and Tesco are accelerating AI adoption to sharpen competitive advantage. Sainsbury's, now in year three of its Next Level transformation, has launched an AI Centre of Excellence and reports over 200 live AI use cases, from...
Not the First Rodeo - IBM CEO Arvind Krishna on Enterprise AI Challenges, Being a Frontier Model Switzerland, and Introducing...
IBM CEO Arvind Krishna said roughly 30% of the company’s backlog now involves generative AI, accounting for over 20% of total revenue. He positioned IBM as the hybrid‑AI platform that lets enterprises run foundation, frontier and open‑weight models on any...
Next '26 - when You Don't Have Enterprise Legacy, You Build It. Google Cloud's Playbook for Winning Agentic AI Trust.
Google Cloud is positioning its Gemini Enterprise Agent Platform as a neutral, full‑stack orchestration layer for agentic AI, promising integrated governance across models, silicon and third‑party tools. The company backs the strategy with a $750 million partner fund and co‑investment teams...
SUSECON 26 – Beware of Gremlins as Europe’s Open Source Agitator Turns Its Attention to Agentic AI
At SUSECON 26, SUSE unveiled the AI Factory with NVIDIA, a turnkey solution that lets enterprises run cutting‑edge AI on private infrastructure while keeping data sovereign. The company also announced a partnership with Switch to power digital‑twin simulations of data‑center operations...
How Norway's Welfare System Moved 400GB of Daily Logs to Managed OpenSearch without a Service Interruption
Norway’s welfare agency NAV replaced its legacy Elasticsearch logging stack with a managed OpenSearch service from Aiven, driven by a license change and a broader cloud migration. The migration used a dual‑write approach, sending logs to both systems simultaneously, which...
Vibe Coding Requires More than a Vibe
Vibe coding—AI‑driven software generation—now produces 41% of all code worldwide, with 92% of developers using AI tools daily and 74% reporting higher productivity. The surge enables non‑technical staff to build custom applications quickly, sparking debate that it could undermine traditional...
The Real Problem with Marketing Intelligence Isn’t Insight, It’s Execution. How Can AI Help?
The NinjaCat and UserEvidence report reveals that marketing intelligence is hampered more by execution bottlenecks than by lack of data. Marketers spend an average $26.2 million annually and juggle eight martech platforms plus three performance tools, yet only 37% have a...
Early AI Adopters Stumble Across the Horror of Vendor Lock-In. Here We Go Again?
A Zapier‑commissioned survey of 542 U.S. C‑level executives reveals that AI vendor lock‑in is a rising concern as generative‑AI models become entrenched in core processes. While 81% of respondents admit some level of worry, many remain overly optimistic, with 90%...
Adobe Summit 2026 – AI Has Gone From Know-It-All to Actually Getting Work Done, Says Nvidia CEO
At Adobe Summit 2026 in Las Vegas, Adobe unveiled CX Enterprise and AI‑driven assistants that turn its creative suite into an agentic platform. Nvidia CEO Jensen Huang joined the keynote, declaring that AI has moved from merely “knowing it all” to actually completing...
Can AI Infrastructure Costs Be a Value Driver? Hot Topics and Customer Views From Oracle AI World 2026
At Oracle AI World New York, Oracle highlighted how its Oracle Cloud Infrastructure (OCI) can lower AI inference costs by pulling virtual components from hardware and leveraging bare‑metal and RDMA networking. The company emphasized that customers can swap expensive frontier models...
Why Is Enterprise AI Stuck? OpenSearchCon Europe 2026 Says the Bottleneck Has Moved From the Model to the Data
OpenSearchCon Europe in Prague highlighted a shift in enterprise AI from model‑centric challenges to data‑centric bottlenecks. Research presented by S&P Global shows 35% of firms cite insufficient data access as a major barrier, while 40% deem it disruptive. OpenSearch demonstrated...
Enterprise Hits and Misses - Claude Mythos Needs a Reality Check, Neurodiverse Workplaces Aren't There yet, and Event Season Rolls...
The latest diginomica roundup highlights a widening gap between employer confidence and neurodivergent employee experiences, underscoring the need for universal design in workplaces. At the same time, Anthropic’s hype around Claude Mythos collides with a recent leak of its source code,...
Universities Model Domestic Energy Use to Help UK Hit Net Zero Goals
University College London, Oxford and Exeter have launched the Energy Demand Observatory and Laboratory (EDOL) to model UK household energy use with unprecedented granularity. Building on the Smart Energy Research Lab’s 11,500‑home smart‑meter dataset, EDOL adds near‑real‑time temperature, humidity and...
Want AI Outcomes? Yes - but How Do Customers Get There? Inside Oracle's Agentic Apps News with Steve Miranda
Oracle unveiled 22 new agentic applications built on its Fusion suite, turning traditional dashboards into AI‑driven reasoning agents that can propose and execute actions such as cash‑position optimization. The agents sit atop existing Fusion data, inheriting security policies, approval rules,...
Is Agentic AI Undermining Offshoring? Open Reply Asks the Question
Open Reply, an AI‑first product engineering consultancy, commissioned a Forrester Consulting report that finds AI is eroding the traditional offshoring advantage of cheaper human coding labor. Generative AI tools now enable code to be written three to four times faster...
SUSE Wants to Take the Cognitive Load Out of Infrastructure – and Liz Is How It Plans to Do It
SUSE announced a major upgrade to its Rancher Prime AI assistant, Liz, re‑architecting it as an orchestration layer that coordinates specialized agents for fleet management, security, observability and more. The new Model Context Protocol (MCP) lets customers plug in third‑party...
The Diginomica Network Podcast - CIO Subhash Chandra Jose Takes EBRD Beyond the Sunset
The European Bank for Reconstruction and Development (EBRD) was originally built with a 20‑year sunset plan but has now operated for 35 years, prompting a major digital overhaul. CIO Subhash Chandra Jose, who took the helm in 2023, outlined a five‑year transformation...
How Mphasis NeoZeta Is Bringing Banking Back-End Systems Into the AI Era
Mphasis is tackling entrenched banking back‑office systems with its NeoZeta platform, which extracts business logic from legacy COBOL and Assembler code and stores it in a knowledge graph called Ontosphere. By combining domain ontologies with large language models, NeoZeta translates...
What Separates a Good Finance Agent From a Weekend Project? Inside Sage's AI Architecture with CTO Aaron Harris
Sage’s CTO Aaron Harris detailed a finance‑focused AI architecture that relies on small, domain‑specific language models rather than generic frontier models. By training 7‑billion‑parameter models and wrapping them in an "arbiter" firewall, Sage reduces inference costs by roughly 97 percent...
Celonis - Europe's Defense Reckoning Has an Execution Gap and a Sovereignty Problem
European defense spending is set to surge, with roughly €600 billion (about $652 billion) earmarked for re‑armament. The influx of hardware orders has exposed an "execution gap"—outdated logistics, fragmented data, and slow supply‑chain processes that could waste a large share of the...
Zendesk Brings on AI-Native Agentic CX Capabilities with Its Acquisition of Forethought
Zendesk announced its largest‑ever acquisition, buying AI‑native CX platform Forethought to fast‑track its agentic AI roadmap by more than a year. Forethought trains on a company’s historical ticket data to automatically generate workflows, coordinate agents, and provide QA oversight across...
AI Needs to Be Inclusive by Design – Here’s How the NHS, Microsoft and GoFibre Think It Can Be Done
At a Tech Show London panel, Microsoft, NHS Blood and Transplant, and GoFibre executives argued that AI must be built with diversity‑by‑design rather than as an after‑thought. They emphasized scrutinising training data for gaps, instituting formal AI audits, and embedding...
As Customer Journeys Fragment Across AI and Chat, Contentsquare Adds New Analytics Tools. Here’s What’s New
Contentsquare has expanded its digital analytics platform with tools that surface interactions with large language models, on‑site chat, and support channels. An out‑of‑the‑box dashboard now reports LLM traffic share and conversion, while the acquisition of conversation‑intelligence firm Loris adds sentiment,...
As Agentic AI Hits 'a Difficult Age', Salesforce's Forward Deployment Engineers Are on Hand to, Well, Hold Enterprise Hands. Jennifer...
Salesforce’s Agentforce program has logged over 29,000 deals, most of which are exploratory pilots, highlighting the early stage of enterprise adoption of agentic AI. To turn pilots into full‑scale deployments, the company relies on its Forward Deployed Engineering (FDE) team,...
Qualtrics X4 - New CEO Jason Maynard Declares the Insight Gap Closed, and Sets Sights on Driving Outcomes
Qualtrics CEO Jason Maynard announced at X4 2026 that the traditional insight gap is now closed and the company is pivoting toward real‑time, AI‑driven actions that deliver measurable outcomes. The new strategy hinges on “experience context,” turning data into decisions via...
GTC 2026 - Everpure Tackles Data Readiness and Flexible Consumption for Enterprise AI
Everpure unveiled three major announcements at GTC 2026, beginning with record‑setting AI storage benchmarks for its FlashBlade//EXA and FlashBlade//S500 platforms. The company introduced DataStream, an AI‑ready data pipeline that automates ingestion, anonymization, vectorization and indexing, complemented by the 1touch.io acquisition...
Dropbox FY2025 - Flat Results and Guidance, Still Betting on Dash for Growth
Dropbox reported FY2025 revenue of $2.5 billion, essentially flat year‑over‑year, while GAAP operating margin improved to 27.3% and non‑GAAP margin hit 40.6%. The company expects paying‑user growth to remain flat in FY2026, mirroring the prior year’s stability. Dropbox is banking on...
Pega Targets $2bn Revenue Milestone as It Bets on 'Predictable AI' - CEO Alan Trefler Slams 'Delusional' Multi-Agent Approach
Pegasystems beat its guidance as Pega Cloud annual contract value surged 33% year‑over‑year, positioning the firm to cross the $2 billion revenue mark by 2026. CEO Alan Trefler championed a "predictable AI" Blueprint approach, arguing that design‑time AI‑driven workflows are more...
CFO Offices Are Getting to Grips with the Idea that AI Isn't that Simple for Their Role, but Interest Isn't...
BlackLine CEO Owen Ryan says CFOs remain wary of AI that functions as a black box, insisting on accuracy, transparency, auditability and security. The company is shifting from simple automation to an AI‑driven orchestration built on three pillars—data, context and...