Mainframe Modernization Without Rip-and-Replace: The Best Ideas from SHARE Pittsburgh
The strongest takeaway from SHARE Pittsburgh 2026 is simple: you can modernize the mainframe without moving off it. For most enterprises, “get off the mainframe” …
AI, IoT & Predictive Analytics
Bridging Data Systems After Acquisition – A Cloud Integration Strategy for Tikkurila & PPG
About the Client and beginning of cooperation
90% Drop in Support Incidents – Reducing Data Chaos at Pernod Ricard with Azure Integration
Pernod Ricard partnered with Multishoring in 2012 to develop a global document exchange solution using BizTalk, leading to a 10-year collaboration that improved integration processes across all branches.
Mobilizing Field Data – A Strategic Asset Management Solution for Eversfield Consultants
Eversfield Consultants, a UK-based company providing strategic interim management services to Private Finance Initiative (PFI), construction and property management organizations, hired developers from Multishoring to build its FileMaker custom app for property lifecycle management. As a result, the company was able to reduce its system development costs by half and to focus on its core business.
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What IBM’s USENIX Research Means for Securing Enterprise AI
The most useful thing IBM did at the Agentic AI Summit 2026 was not launch a product. It was name the unglamorous problems that decide …
Agent Sprawl Is an Integration Problem: The Enterprise Case for API Governance
Every AI agent is a new integration. Learn why agent sprawl is an API management and governance problem, and how to keep it under control.
What IBM’s Research at the Agentic AI Summit 2026 Signals for Enterprise Production
IBM brought research, not launches, to the Agentic AI Summit 2026. See what its work reveals about interoperability, evaluation, security, legacy integration, and moving enterprise agents from demo to production.
AI-Augmented BI: From Dashboards to Decisions
AI is changing business intelligence from something you read to something you ask – but only if the data underneath is ready for it. For …
Claims Process Automation for Insurance: Where to Automate, What to Measure, How to Start
Claims process automation works best when it removes repetitive handling from predictable claims and sends uncertainty to the right person. Documents can be read, defined …
Choosing an Enterprise AI Platform: A Vendor-Neutral Buyer’s Guide
There is no single best enterprise AI platform – and any guide that names one is selling something. The right platform depends on your data, …
The EU AI Act and NIST AI RMF: A Practical Compliance Playbook
The EU AI Act is law, it is enforceable, and its deadlines are already in motion – and if you think it does not apply …
Is Your Data AI-Ready? Preparing Enterprise Data for GenAI and RAG
The reason your AI pilots stall is usually not the model – it is the data underneath it. The model performs beautifully in the demo, …
Enterprise AI Agents: From Pilot to Production
Building an AI agent that works in a demo is easy. Running one in production is the hard part – and it is where most …
OpenShift Virtualization vs VMware: How to Choose (Replace, Coexist, or New Workloads Only)
OpenShift Virtualization and VMware are not one-for-one products. VMware vSphere and VMware Cloud Foundation (VCF) are built around running and operating virtual infrastructure. Red Hat …
Data Governance for AI – Getting Control Before You Scale GenAI
Scaling generative AI does not turn a fragmented data estate into a trusted source of intelligence. It exposes its weaknesses more quickly. An assistant that …
Enterprise AI in Production: Why Pilots Stall and How to Scale Safely
Most enterprise AI pilots never reach production – and the reason is rarely the model. The demo works. The proof of concept impresses the steering …
AI Governance for Regulated Enterprises: Operating Model, Controls, and the Path to Production
AI governance is what turns a promising pilot into a production system you can defend – to your board, your regulator, and your own risk …
Scenario Planning with IBM Planning Analytics – From Static Forecasts to Better Business Decisions
Scenario planning is supposed to help leaders make better decisions before the business is forced to make them under pressure. In practice, many organizations still …
IBM Planning Analytics vs Anaplan – An Honest FP&A Comparison
If you are choosing a planning platform for FP&A, the comparison of IBM Planning Analytics vs Anaplan tends to produce more heat than light. Most …
Planning a watsonx.data Lakehouse: The Architecture Decisions That Make or Break It
Almost every data leader now wants the same thing: a single, governed foundation that feeds both analytics and AI without copying data into yet another …
IBM Planning Analytics vs Cognos Analytics vs TM1: What You’re Actually Running — and Why the Confusion Matters
Few product families confuse experienced teams as reliably as IBM’s planning and analytics stack. People say “Cognos” and mean four different things. They ask whether …
QlikView to Power BI Migration Paths and How AI Reduces Delivery Effort by 30–40%
QlikView 12.90 loses standard Qlik support in October 2026. QlikView 12.100 follows in September 2027. After those dates, your organization absorbs the full operational and …
We’re Back — Here’s What to Expect at Microsoft Build 2026
Microsoft Build is back – and so are we. Last year, we followed Microsoft’s flagship developer conference from the first registration announcement all the way …
The Agentic Leap: Multishoring’s Key Takeaways from IBM Think 2026
The IBM Think 2026 Recap: the agentic era is not a future state. It is already separating enterprises that are scaling AI into real operations …
IBM Think 2026 Day 3: Measuring AI ROI and Exclusive Boston Experiences
IBM Think 2026 ends today – but for most senior leaders in Boston, Thursday morning is where the real work begins. Think Day 3 (Thursday, …
IBM Think 2026 Day 2: Deep Dive into AI-Ready Data, Hybrid Cloud, and Automation
Wednesday, May 6 is where IBM Think 2026 stopped talking about AI potential and started showing how it actually runs in production. Day 2 – …
IBM Think 2026 Day 1: Kicking Off the Agentic Enterprise & Partner Innovations
IBM Think 2026 opened today in Boston. CEO Arvind Krishna delivered the keynote at 8:30 AM ET with one central message: most companies have invested …
IBM Think 2026 Kicks Off with Partner Plus Day – and Agentic AI Takes Center Stage
For enterprise leaders watching the IBM space – especially those managing complex data environments, integrations, or legacy BI infrastructure – what gets announced and framed …
Data Profiling & Cleansing – The First Step Before Any Migration or AI Project
The fastest way to ruin a million-dollar IT project is to build it on bad data. When companies plan a massive cloud migration or launch …
IBM Think 2026: Everything You Need to Know About the Agentic AI Era
Cut the Fluff: What is IBM Think and Why Should You Care? Let’s get straight to the point. If you are steering IT, finance, or …
Strategic Goal Tracking – Monitoring Annual Objectives and Benchmarks in Real-Time
Every January, companies hold planning sessions. Leadership defines ambitious annual objectives, sets new revenue targets, and outlines strategic goals. The team puts these goals into …
FP&A Forecasting – Implementing AI Models and Budgeting Automation
Upgrading your Financial Planning and Analysis (FP&A) forecasting from manual spreadsheets to AI-driven, automated models can cut planning cycles by up to 30% and boost …
From Reactive to Predictive – Visualizing Equipment Health with MTBF and MTTR
Fixing machines only after they break is a strategy that belongs in the past. In modern manufacturing, unplanned downtime does not just cost you the …
AI-Driven Demand Forecasting – Predicting Sales Trends
Planning for Q2 and Q3 usually involves a lot of debate. The sales team predicts a massive spike. The operations team prepares for a conservative …
Modernizing the Month-End Close – Power BI Financial Reporting vs. Traditional Analysis Software
For most finance teams, the month-end close is a race against the clock. It often takes five to ten days to consolidate numbers, reconcile accounts, …
Financial Planning and Analysis for Manufacturing – Closing the Gap Between Operations and Finance
In manufacturing, margins are often measured in pennies, but the cost of error is measured in hundreds of thousands. For many CFOs and plant controllers, …
Databricks Integrates Anthropic’s Claude Opus 4.6 for Enterprise AI Workflows
Databricks has announced that Anthropic’s newest AI model, Claude Opus 4.6, is now available on the Data Intelligence Platform. This release significantly expands the company’s …
Predictive Maintenance at Scale – How Databricks AI Saves Money in Downtime
Many asset-heavy enterprises are stuck in “Pilot Purgatory.” They run a successful (or so it seems) data-driven predictive maintenance test on a small subset of …
Microsoft Ignite 2025 Recap – Agentic AI and Data Foundations
Microsoft Ignite 2025 in San Francisco ended some time ago, but if you strip away the hype of the 20,000-person crowd, the core message for …
Snowflake and Anthropic: A $200M Investment to Operationalize “Agentic AI”
The barrier to Enterprise AI has never been capability—it has been trust. With a new $200 million strategic partnership, Snowflake and Anthropic are removing that …
Microsoft, NVIDIA, and Anthropic Unite – Claude Models Now Available on Azure Foundry
A major shift in the enterprise AI market is now official. Microsoft Azure has become the only cloud provider to host both GPT and Claude …
Databricks and OpenAI Announce $100M Partnership to Bring GPT-5 to the Enterprise
The enterprise AI and data world was stirred today as Databricks and OpenAI announced a landmark partnership. The news, which broke via a tweet from …
Power BI Predictive Analytics – How To Use Microsoft’s Predictive Models
Can Power BI Be Used for Predictive Analysis? Yes. Power BI is a powerful tool for predictive analysis. It offers multiple ways to forecast future …
A Blueprint for Success: How We Revolutionize BizTalk to AIS Migration with AI
The clock is ticking on Microsoft BizTalk Server. With the 2028 end-of-life deadline fast approaching, the question for many enterprise leaders is no longer if they should …
From Data to Narrative – Using AI for Automated Data Storytelling in Power BI
The sheer volume of business intelligence data today presents both the greatest opportunity and the biggest bottleneck for modern enterprises. For years, organizations relied on …
AI in Manufacturing Quality Control – How Computer Vision Reduces Defects
Are you tired of finding defects after products reach customers? Manufacturing quality control faces a crisis. Traditional inspection methods catch only 60-90% of defects, while …
Predictive Maintenance 101 – Using AI to Prevent Equipment Failures on the Factory Floor
When a critical machine on the production line breaks down, everything else slows down with it. Operations halt. Deliveries are delayed. Maintenance teams shift into …
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