Our views on business technology trends
How AI is helping product managers and product owners
AI is improving the product management function by enabling faster decision-making and stronger strategic acumen, while supporting more data-driven and innovative product workflows.
CRM in a sovereignty driven world: The new architecture mandate
Salesforce CRM is evolving into a region aware, execution local architecture that balances global customer experience with strict local data sovereignty and compliance.
Beyond the buzz: Why automakers are betting on software‑defined vehicles
SDVs represent a transformative shift in the automotive industry, evolving cars into continuously updateable software platforms that enhance user experience and operational efficiency.
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AI energy demand through 2030: Navigating the wicked problem of infrastructure and sustainability
AI is accelerating digital transformation, but electricity and grid capacity are becoming the constraint to further business benefit. Leaders should combine demand-side flexibility, efficient AI engineering, and an AI-first operating model to scale responsibly, sustainably, and competitively in the agentic era.
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Public sector digital transformation: Why change management matters more than tech
Digital transformation is progressing, but without structured change management, adoption and outcomes will lag.
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Healthcare needs a new control tower: Intelligent systems that streamline the workforce
Health systems have invested in digital tools, but fragmented systems still make staffing and care delivery harder than they should be. A unified workforce intelligence platform can help leaders anticipate demand, deploy staff more effectively, and reduce operational friction.
How a unified AI platform can boost turnaround times for shipping companies
AI-driven document processing, rules, and orchestration boosted straight-through processing while reducing manual effort and turnaround time for a client.
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Cell and gene therapy: Execution gap and distribution opportunity
Cell and gene therapies hold transformative potential, yet distribution remains a critical constraint. Scaling their impact demands coordinated redesign of logistics, infrastructure, and end-to-end delivery models.
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A cognitive engine tuned for business
Transforming enterprise service management into a cognitive engine for business requires changes to business processes, the use of AI tools to drive efficiencies, and a clear focus on business needs.
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How generative AI is reshaping semiconductor design
Advanced nodes increase semiconductor chip design complexity, making it critical to balance power, performance, and area across the physical design process. This article explores how generative AI enables first-time-right silicon through continuous, learning-driven optimization.
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AI-driven fiber route optimization with GeoAI and LiDAR
Modern fiber planning demands intelligence, scale, and real world accuracy beyond static maps. GeoAI routing and LiDAR based 3D models work together to turn fiber planning into field validated, build ready network designs.
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How to unlock value in telecom mergers: Best practices for integration success
Discover why technology integration failures cost more than the deal itself, and how an integrated technology strategy can transform chaos into competitive advantage.
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From pilot to production: How to scale AI in the SAP digital cores
Enterprise AI delivers the greatest value in SAP when it is embedded directly into SAP S/4HANA workflows using SAP Business AI, Joule, and SAP BTP, so intelligence becomes a secure, governed, production grade capability driving everyday execution rather than isolated pilots.
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How AI is helping product managers and product owners
AI is improving the product management function by enabling faster decision-making and stronger strategic acumen, while supporting more data-driven and innovative product workflows.
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Customer servicing 2.0 - The 2030 AI-enabled ecosystem
AI is entering day to day banking service, driven by economics. By 2030, customers expect outcome led, safe service. Banks must replace fragmented models with end to end, predictive, governed AI.
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How a unified AI platform can boost turnaround times for shipping companies
AI-driven document processing, rules, and orchestration boosted straight-through processing while reducing manual effort and turnaround time for a client.
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From AI hype to enterprise execution: Insights from ConsumerNext
How CPG, retail, and logistics companies can move out of the testing phase and put AI to work at scale.
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Why foundational transformation matters more than AI tools
AI delivers real impact only when built on strong fundamentals — aligned processes, trusted data, integrated platforms, and a workforce ready for change.
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The cloud-first, AI-first mandate: Why business leaders shouldn’t wait
Facing shifting markets, rising expectations, and the 2027 end of SAP ECC support, businesses must strategically migrate to SAP S/4HANA to build an AI- and cloud-powered digital core for real-time, agile decision-making.
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AI has scaled. Telcos must rethink enterprise models.
AI has moved from pilots to scale. But for telcos, legacy enterprise models are now the real bottleneck to value. Telcos must redesign how they operate, make decisions, and govern value.
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AI-Enabled Semiconductor Supply Chains: From Predictive Analytics to Autonomous Decision Support
Semiconductor supply chains face rising complexity, volatility, and geopolitical risk. This article shows how AI is evolving from predictive analytics to decision intelligence and outlines four priority actions to scale AI across the semiconductor value chain.
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Targeted innovation drives strategic gains in pharma, medtech, and care delivery
Organizations are modernizing legacy systems and enhancing daily operations across pharma manufacturing, medical device development, and healthcare networks, as demonstrated through four real world life sciences case studies.
