Phrases like “striking the post” and “direct free kick outside the 18” may seem foreign if you’re not a fan of football (for Americans, see: soccer). But for a football scout, it’s the daily lexicon of the job, representing crucial language that helps assess a player’s value to a team. And now, it’s also the language spoken and understood by Scout Advisor—an innovative tool using natural language processing (NLP) and built on the IBM® watsonx™ platform especially for Spain’s Sevilla Fútbol Club.  On any given day, a scout has several responsibilities: observing practices, talking to famil ..read more

The central processing unit (CPU) is the computer’s brain. It handles the assignment and processing of tasks, in addition to functions that make a computer run. There’s no way to overstate the importance of the CPU to computing. Virtually all computer systems contain, at the least, some type of basic CPU. Regardless of whether they’re used in personal computers (PCs), laptops, tablets, smartphones or even in supercomputers whose output is so strong it must be measured in floating-point operations per second, CPUs are the one piece of equipment on computers that can’t be sacrificed. No matter w ..read more

Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Concerns around security, governance and lack of resources and expertise also top the list of respondents’ concerns. Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and ..read more

Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security.  By implementing effective solutions for AI in commerce, brands can create seamless, personalized buying experiences that increase customer loyalty, customer engagement, retention and share of wallet across B2B and B2C channels.  Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad expe ..read more

Recent research from IDC found that 85% of CEOs who were surveyed cited digital capabilities as strategic differentiators that are crucial to accelerating revenue growth. However, IT decision makers remain concerned about the risks associated with their digital infrastructure and the impact they might have on business outcomes, with data breaches and security concerns being the biggest threats.   With the rapid growth of XaaS consumption models and the integration of AI and data at the forefront of every business plan, we believe that protecting data security is pivotal to success. I ..read more

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025, with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data s ..read more

In recent years, cloud adoption services have accelerated, with companies increasingly moving from traditional on-premises hosting to public cloud solutions. However, the rise of hybrid and multi-cloud patterns has led to challenges in optimizing value and controlling cloud expenditure, resulting in a shift from capital to operational expenses.   According to a Gartner report, cloud operational expenses are expected to surpass traditional IT spending, reflecting the ongoing transformation in expenditure patterns by 2025. FinOps is an evolving cloud financial management discipline and ..read more

The number of chief artificial intelligence officers (CAIOs) has almost tripled in the last 5 years, according to LinkedIn. Companies across industries are realizing the need to integrate artificial intelligence (AI) into their core strategies from the top to avoid falling behind. These AI leaders are responsible for developing a blueprint for AI adoption and oversight both in companies and the federal government. Following a recent executive order by the Biden administration and a meteoric rise in AI adoption across sectors, the Office of Management and Budget (OMB) released a memo on how fed ..read more

CFOs are the stewards of investment capital, orchestrating a movement with transformative technology and innovation to evolve businesses, accelerate revenue streams and drive meaningful outcomes. The current business environment has CFOs facing headwinds for decision-making in less-than-ideal conditions with rapidly shifting regulations, tedious reporting standards, ESG requirements and inflationary pressures; however, the need for growth and profit expansion remains, and as CEOs look for ways to increase productivity, the CFO is emerging as a new advisor on technology and innovation. Despite ..read more

Artificial intelligence (AI) represents a once-in-a-lifetime change management opportunity that might decide who wins and loses across every industry. As the AI era takes shape through digital transformation initiatives, executives and employees alike are contemplating how it affects employment and the skills needed to stay ahead. This is where AI upskilling and reskilling come into play. How executives and employees view the era of AI An IBM Institute for Business Value report found that more than 60% of executives say that generative AI will disrupt how their organization designs customer an ..read more