MAROKO133 Eksklusif ai: Capture the full value of your technology with financial intellige

📌 MAROKO133 Hot ai: Capture the full value of your technology with financial intel

As AI, cloud, and other technology investments soar, organizations have to make investment decisions with increased speed and clarity. Practices like FinOps, IT financial management (ITFM), and strategic portfolio management (SPM) help stakeholders evaluate opportunities and trade-offs for maximum value. But they depend on unified, reliable data. And that’s often where the challenge begins.

AI can surface insights from data within specific domains, but important decisions rarely rely on a single source of data. To account for operational and organizational factors as well as financial impact, finance and IT teams have to cut through disconnected systems, outdated data, and inconsistent definitions of value. Real control over technology spend comes from financial intelligence — turning fragmented inputs into actionable, context-rich insights.

Apptio technology business management (TBM) solutions deliver that intelligence to technology and finance leaders. By connecting financial, operational, and business data across the enterprise, they give leaders the clarity to make every tech dollar count.

Wrangling inputs instead of driving strategy

When different stakeholders rely on different sources of truth, they don’t share the same perspective on the finance and technology landscape. The CFO sees the cost structures in the ERP system. The CIO sees systems configuration and performance metrics in ITSM and monitoring tools. The business looks at outcomes in CRM and analytics platforms. But no single domain has the holistic understanding needed to balance organizational, operational, and financial priorities.

Organizations must also evaluate competing priorities across applications, infrastructure, cloud services, DevOps tools, and workforce investments. Informed trade-offs — such as carving out budget for AI investments without undermining existing capabilities — require visibility into usage patterns, system redundancies, and relative value across all these domains. Without visibility, FinOps, ITFM, and SPM practices can’t fulfill their potential for IT and cloud cost optimization.

Instead, siloed data sources force finance teams to spend hours gathering reports from different systems of record and trying to reconcile inconsistent data formats. This practice is not only time- and labor-intensive, but it also opens the org to the risk of flawed forecasts, missed optimization opportunities, and wasted technology spend — potentially costing millions annually.

This critical gap reveals why generic BI platforms and DIY tools only go so far. They can’t connect costs back to their sources at a detailed level, making it hard to trace allocations across systems, identify redundancies, or even answer the simplest question: What’s driving our costs?

Turning static numbers into action

Financial intelligence translates domain-specific financial, operational, and business metrics into a shared language of value on which leaders can act. By aggregating, normalizing, and enriching data from ERP systems, cloud platforms, IT service management tools, HR systems, and more, the Financial Intelligence Layer in Apptio supports three critical ITFM, FinOps, and SPM capabilities:

Context. Aligning financial, operational, and outcome inputs so that:

• Cloud spend connects to business impact

• Infrastructure costs tie to application performance

• Workforce investments link to service delivery

Insights. Connecting cost, usage, performance, and value across the enterprise. For example, mapping AI model usage to ROI can reveal which initiatives do and do not deserve continued investment.

Action. Empowering leaders to make informed, coordinated decisions rather than operating in silos.

Hyperscalers surface cloud cost optimization insights on their own platforms. Single-function tech platforms like ERP, HR, CRM, and ITSM provide valuable metrics for their specific domains. Apptio TBM solutions go further, delivering the financial context and actionable insights needed to manage technology spend management across all areas: on-premises, multi-cloud, applications, and workforce.

Domain expertise for FinOps, ITFM, and SPM

Raw numbers don’t tell a story. What matters is structuring data so that it aligns with business goals and enables decision-makers to see patterns, weigh options, and chart the best path forward. Apptio has trained its AI specifically on FinOps, ITFM, and SPM to understand the questions these teams actually need to answer, so TBM teams can work faster and smarter.

Apptio TBM solutions ease the cognitive load by automating time-consuming ingestion, mapping, anomaly detection, and enrichment — so people can focus on strategic decisions. Clean, enriched inputs feed forecasting models that anticipate cost trends and surface optimization opportunities. And because Apptio offers ready-to-use cost modeling frameworks and governance, organizations can start realizing value far faster than they can using DIY or open-source tools.

The path to financial intelligence

Financial intelligence starts with clean, contextualized data — but how that data is organized and used is equally critical for optimizing technology spend. TBM principles like cost and consumption allocation, process optimization, and unit economics will help teams translate data into meaningful insights and smarter decisions.

Solutions purpose-built for technology spend management are essential. Spreadsheets don’t scale, and domain expertise matters. Apptio TBM solutions deliver enterprise-grade governance, financial context across all tech domains, and AI trained specifically for ITFM, FinOps, and SPM. These are capabilities that hyperscalers — focused on single-cloud optimization and generic BI tools — simply can’t provide at scale.

In an era when rapid innovation places a premium on technology spend management, financial intelligence is vital for maximizing budgets. By optimizing the inputs that fuel AI-driven financial workflows, leaders can equip every stakeholder with the confidence and intelligence to steer technology investments with data-driven precision.

Learn more here about how the Financial Intelligence Layer in Apptio transforms how enterprises decide, fund, and execute their TBM strategies in the AI era.

Ajay Patel is General Manager at Apptio, an IBM Company.

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🔗 Sumber: venturebeat.com

📌 MAROKO133 Eksklusif ai: US teen creates origami design strong enough to match a

A 14-year-old student from New York City has cashed in a USD 25,000 prize after combining art and physics to create a revolutionary origami design that can hold more than 10,000 times its own weight.

Young Miles Wu had reportedly tested 54 variations of the Miura-ori fold. He won the top prize at the Thermo Fisher Scientific ASCEND (Aspiring Scientists Cultivating Exciting New Discoveries) Award in October 2025.

The Miura-ori fold, named after its inventor, Japanese astrophysicist Kōryō Miura, is a method of folding a flat surface such as a sheet of paper into a smaller area with a repeating pattern of parallelograms.

“I wondered if Miura-Ori origami folds could be utilized in deployable shelters, since they are known for their strength, flat-foldability, and portability,” Wu stated.

Origami meets physics

To identify the most resilient design, the Hunter College High School 8th grader evaluated two parallelogram heights (one and two inches), three widths (0.5, one, and two inches), and three fold angles (45, 60, and 75 degrees).

He also experimented with different paper weights, ranging from standard copy paper to heavy cardstock. He created a total of 54 versions, each unfolding to about 64 square inches, roughly two-thirds of a typical copy-paper sheet.

Wu also placed each model between two guardrails, kept them fixed five inches apart, and added weight little by little until the structure failed. He was shocked when he found out it could withstand far more weight than he ever expected.

“The final statistic I got about the strongest Miura-ori that I tested was that it could hold over 10,000 times its own weight,” Wu told Business Insider. “I calculated that to be the equivalent of a New York City taxi cab holding over 4,000 elephants.”

Wu’s tests showed that designs with smaller panels and steeper angles weren’t only stronger but also remarkably resilient. He was, however, surprised to discover that copy paper, not heavier stock, had the strongest strength-to-weight ratio.

Strength in folds

The young teen explained that the project was inspired by his six-year passion for origami, especially folding animals and insects. His work has been featured on the American Museum of Natural History’s holiday tree.

“Recently I’ve been designing my own origami, too,” he noted. According to the Society for Science, Wu has folded and sold 200 origami pigeons of his own design to benefit the Wild Bird Fund.

He hopes to apply the insights to develop strong, lightweight shelters that can be swiftly deployed in areas affected by natural disasters. “I had to purchase 50-pound exercise weights to run trials accurately,” he revealed.

The Thermo Fisher Junior Innovators Challenge, which the Society for Science runs, reaches more than 60,000 middle schoolers across the US. Chosen from nearly 2,000 applicants nationwide, Miles stood out among the 30 finalists and was among the top winners, sharing over USD 100,000.

“Miles’ remarkable blend of scientific creativity, leadership, and collaboration highlights the type of talent Society for Science is proud to support,” Maya Ajmera, Society for Science CEO and president, said in a press release. “I look forward to seeing the innovative ideas he will contribute in the future.”

🔗 Sumber: interestingengineering.com