#value-computing

#value-computing

Some financial experts recommend enjoying a portion of the windfall while allocating the rest towards savings or investments to ensure long-term benefits.

Most local utility companies provide energy audits for their small business customers. For example, my provider - PECO - offers customized reports and online tools to benchmark energy usage, incentives for better energy consumption, rebates for buying energy-efficient equipment and free energy assessments.

However, alongside these tangible indicators sits another layer of value, one that does not always surface cleanly in financial statements and may even remain invisible if it is not properly understood or articulated: Put simply, intangible assets are the non-physical elements a company has built that enable it to generate revenue, scale efficiently, or defend its market position. In technology companies, this typically includes proprietary software, intellectual property, datasets, customer relationships, brand equity, and internal systems or processes.

Passion can work for or against you in a business model. Your goal? Make it work for you. First, I think we tend to categorize individuals with passion into the enigmatic genius entrepreneur who hits it big or takes the leap with the smallest of chances for success, only to watch them absolutely crush it.

Kantar's codebase was legacy old. The kind of technical debt that isn't a line item on a sprint board but a structural reality that shapes every decision the company makes. Rebuilding the architecture to support what I'd designed would have cost more than the organization was willing to invest, regardless of the Barilla deal sitting on the table.

Hedge funds and other money managers spent $2.8 billion on alternative data in 2025, according to a new report from consultancy Neudata, a 17% jump from the year before. It's more than double what asset managers spent on alternative data in 2021, which includes a wide range of non-traditional information sources. The report projects that the total spend on alternative datasets could jump to more than $23 billion in the consultancy's bull case in 2030 and just under $8 billion in the bear case.

Data science and artificial intelligence are fundamentally redefining what constitutes skill in investment management, shifting the sources of sustainable competitive advantage in ways most firms have yet to comprehend. This is not about automating existing workflows. It is about reconceptualizing which analytical tasks can be systematized and which genuinely require human judgment, then rebuilding investment processes around that distinction. Firms that fail to recognize this depth are not simply adopting tools more slowly. They are misunderstanding the nature of the change itself.

The S&P 500's performance in 2025 marked yet another blockbuster year after performing well in both 2023 and 2024. Many analysts thought that double-digit gains for a third straight year would be too unlikely, but the market ended up proving them wrong. 2026 is off to a great start for the S&P as well, though a correction is certainly overdue at this stage. But can the market prove bears wrong yet again?

The emergence of so-called "agentic AI," systems that can perform tasks independently and support decisions, plays a central role in this. Two-thirds of respondents believe that there is currently more hype surrounding agentic AI than previous technological developments. At the same time, three-quarters are still discovering how this technology can be used effectively. According to Basware CEO Jason Kurtz, the time for experimentation is over; executives expect concrete results.

A new study analyzing data from 1990 to 2023 found that AI can predict 71% of mutual fund managers' trade directions. The research suggests that thousands of high-paying finance jobs could become automated. The study, published by the National Bureau of Economic Research, looked at the $54 trillion asset management industry and discovered that senior managers in less competitive categories are the most predictable-and thus the most replaceable.

The Schwab U.S. Small-Cap ETF (NYSEARCA:SCHA) has delivered a 5.5% return YTD, tracking the broader small-cap market's trajectory. The fund's defining advantage is cost efficiency, at a scant 0.04% annual expense ratio ranks among the lowest in the small-cap category, allowing investors to compound returns without significant fee drag eating into performance over time. Recent coverage has been mixed. MSN positioned SCHA as an "attractive option" given its low costs and past performance.