3 Ways to Mitigate Executive Turnover
An experienced C-suite is a proven driver of performance, but retaining senior leaders is becoming harder. According to a Gartner survey, 56% of executives say they are likely or extremely likely to leave their current role in the next two years. Even more...more
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
17 minutes ago
- Yahoo
Analyst Calling for Apple (AAPL) CEO Tim Cook's Exit Says Company ‘Fooled' Investors About AI
Apple is one of the . Walter Piecyk from LightShed Partners recently talked about his note discussing his thoughts on Apple needing a new CEO. The analyst believes Tim Cook can be replaced by a 'product-focused' CEO and plans for leadership replacement could bode well for the stock. He believes Apple Inc (NASDAQ:AAPL) 'fooled' investors about its AI plans. 'I mean, they effectively fooled investors last year at WWDC, making them believe that there was a path to AI when none existed. We all know the state of Siri today. I know it's been bantered about—Perplexity perhaps being an option to acquire. That's not a, you know, an LLM in the sense of ChatGPT, right? This is a wrapper for existing LLMs. But frankly, it's a better situation than they're in today. And you can't just snap your fingers. This is like the concept of moving production from China to India—you just don't snap your fingers and all of a sudden, you know, change your production overnight. Same thing with AI. Look at the capex that Facebook and Google and others have invested in AI, and then look at the capex that Apple has invested in, which has been non-existent. So you just don't overnight create an AI strategy that's homegrown. And then, alternatively, Perplexity is, you know, a possible solution that maybe, you know, pushes them forward and gives them a starting point that at least they can build off of,' he said during an interview with CNBC. Photo by Alexandr Bormotin on Unsplash Apple Inc (NASDAQ:AAPL) is desperately in need of new catalysts. The company's revenue in China fell 8% in fiscal year 2024, following a 2% decline the previous year. The Chinese market accounts for about 15% of Apple's total revenue, so this downtrend cannot be ignored. Investors had hopes from the Wearables, Home, and Accessories segment, but so far its performance has been weak. Vision Pro faces tough competition from Meta's $500 Quest and the more affordable Quest 3S, making it hard to justify its $3,500 price tag. The failure of Apple's HomePod, unable to compete with Amazon's and Google's lower-priced offerings, further highlights the challenges in this market. Apple's iPhone 16 has not shown promising growth prospects yet, and investors are still in a wait-and-see mode on the AI platform. Mar Vista U.S. Quality Premier Strategy stated the following regarding Apple Inc. (NASDAQ:AAPL) in its second quarter 2025 investor letter: 'Apple Inc. (NASDAQ:AAPL) shares came under pressure in the first half of calendar 2025 amid concerns over softening iPhone demand, rising competition from Huawei in China, challenges related to the rollout of Apple Intelligence, its new on-device AI offering, and potential tariff-related headwinds. Despite these near-term pressures, we continue to view Apple as a competitively advantaged business, anchored by the strength of its ecosystem. With over 2 billion active devices and more than 1 billion paying subscribers, Apple benefits from a loyal customer base and a growing stream of high-margin, recurring services revenue. This stable cash flow enables continued investment in innovation, even during periods of cyclical softness. We believe the current headwinds are transitory, and Apple remains well-positioned to lead in the emerging category of AI-enabled edge devices.' While we acknowledge the potential of AAPL as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the . READ NEXT: 30 Stocks That Should Double in 3 Years and 11 Hidden AI Stocks to Buy Right Now. Disclosure: None. This article is originally published at Insider Monkey. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
19 minutes ago
- Business Wire
Gartner Announces Inaugural Gartner Enterprise Risk, Audit & Compliance Conference
STAMFORD, Conn.--(BUSINESS WIRE)--Gartner, Inc. (NYSE: IT) Details: Gartner experts will navigate the theme 'Risk Intelligence Realized' during the Gartner Enterprise Risk, Audit & Compliance Conference 2025. Enterprise risk, audit and compliance leaders will have the opportunity to learn about the latest technology, strategy and leadership insights across six key topic areas: third-party risk management; business risk ownership; governance, risk and compliance; compliance program effectiveness; digital audit function; and emerging risk landscape. Audience and Topics: The conference agenda covers the latest hot topics relevant to enterprise risk, audit and compliance leaders. View the full agenda to learn more about the conference experience. The conference agenda is split into four tracks: Track A: Advancing Risk Technology and Analytics Track B: Managing Critical Risk Hotspots Track C: Transforming Functional Effectiveness Track D: Driving Risk Ownership Keynotes & Guest Speakers: Gartner Opening Keynote: The Risk Reflex: Make Business Risk Ownership Automatic with Chris Audet, Vice President Analyst at Gartner, and Tegan Gebert, Vice President Advisor at Gartner. Guest Keynote: Storytelling for Business with Matthew Luhn, filmmaker and director formerly of Pixar Studios. Guest Keynote: Own Your Decisions with Evy Poumpouras, former Secret Service special agent. Exhibitor Showcase Attendees will get exclusive access to live demos and peers case studies from solution providers at the forefront of finance technology. They will have the opportunity to evaluate the solution providers and learn implementation best practices. Registration To register and to find complete conference details, please visit the Gartner Enterprise Risk, Audit & Compliance Conference website. Members of the media can register for the conference by contacting Rob van der Meulen at Social Media: Join the discussion on social media using #GartnerERAC. About the Enterprise Risk, Audit & Compliance Conference Taking place on September 8-9, 2025 in Grapevine, Texas, the Gartner Enterprise Risk, Audit & Compliance Conference will cover the challenges mission-critical to enterprise risk, audit and compliance executives, across six topic areas: Third-party risk management; Business risk ownership; Governance, risk and compliance tool; Compliance program effectiveness; Digital audit function; and the emerging risk landscape. Follow news and updates from Gartner conferences on X and LinkedIn using the hashtag #GartnerERAC. About Gartner for Legal, Risk & Compliance Leaders Gartner for Legal, Risk and Compliance Leaders provides expert guidance and tools to help leaders across legal, risk, audit and compliance departments more effectively manage an increasingly complex risk landscape and build next-generation functions. Additional information is available at and Follow news and updates on LinkedIn and X. Visit the Gartner Legal and Compliance Newsroom for more information and insights. About Gartner Gartner, Inc. (NYSE: IT) delivers actionable, objective insight that drives smarter decisions and stronger performance on an organization's mission-critical priorities. To learn more, visit
Forbes
an hour ago
- Forbes
Data Center Uptime: What It Really Means
Baratunde Cola is the CEO and Founder of Carbice, a company providing high-performance cooling expertise for next-generation technology. Uptime is a critical metric for any data center, often quoted as "99.9999% uptime." However, most operators typically refer to this percentage as the availability of equipment rather than its actual computational performance. What does data center uptime really mean? Does it mean the hardware's availability, reliability or something else? Claiming "six-nine" uptime is far from the whole picture, and we're seeing a fundamental gap in how uptime is defined and sold in the market. One of the main contributors to this gap is inadequate testing, where components are assumed to perform well in real-world conditions simply because they pass controlled tests. Yet these tests can often mask the limitations of the designs in unpredictable real-world conditions, leading to performance degradation and unexpected failures. Misunderstandings like this lead to a disconnect between what data center vendors promote and what actually matters to businesses that rely on computational uptime to meet business objectives. The Truth Behind Data Center Uptime And 'Best Performance' True data center uptime means maintaining reliable performance across the entire ecosystem. Since many factors can hinder this performance, ensuring that systems operate at their highest potential is crucial in supporting business objectives and revenue generation. A well-designed system should maintain its quality and continue to improve over time, much like an aging wine. Complex liquid-cooled AI servers, for example, have a significantly lower yield during manufacturing compared to typical servers. This is called first-pass yield, or FPY. According to Instrumental, the FPY for these systems "can be as low as 20%, with 50-70% being more typical. For reference high-volume consumer electronics typically drive towards 90%+ FPYs." A low FPY indicates that the units must undergo multiple tests before passing, which is costly and reduces test capacity, leading to longer development cycles. These issues increase the likelihood of performance degradation over time, even with the most advanced cooling solutions. Data centers rely on hardware functioning properly, as it directly impacts revenue. If the hardware degrades, the system underperforms, even when power and cooling systems are functioning as expected, ultimately resulting in the data center not truly having 99.9999% uptime. Performance loss does occur frequently and is challenging to address. According to Statista (registration required), the average annual failure rate of servers inside data centers is 5% in the first year and around 11% by the fourth year. Additionally, older systems can experience multiple issues, leading to a significant increase in the failure rate, which highlights the growing risk associated with aging systems. While most would prefer not to admit failures, it's important to distinguish between performance degradation and an outright outage. Failure often refers to system-level issues addressed by redundancy, such as backups or fail-safes, that can accommodate problems without significant adjustment. In contrast, the concept of "best performance" is often misunderstood. Performance should be measured not just by initial peaks but by long-term stability and how systems hold up over time. No winemaker would call a fresh batch of wine "the best." This claim is made after the wine has aged for an extended period. Just as wine only improves with time, a power or cooling system in a data center performs best when the interface design is reliable and evolves over time. The "best performance" doesn't lose efficiency or effectiveness over time. True system performance is realized only over time, under stress and with proper management. A Key Issue In The Industry: Design Flaws Today, many disingenuous statistics circulate in the industry. While not intentional, they are often misleading about what can go wrong in data centers. The difference between what happens within controlled testing and actual performance in the field leads to a disconnect between what data center vendors promote and what businesses actually need. A statistic from Siemens reveals that 70% of all automotive product recalls in Japan (from 2003 to 2007) were initiated in the design phase. Therefore, it's essential to consider that strenuous environments, similar to those found in data center operations, will require significant care in the design phase. A data center ecosystem can no longer afford to overlook the critical importance of robust design and testing practices. A flawed design process, defined as showcasing product performance under ideal conditions, has led to two-thirds of data center outages costing $100,000 or more. An effective solution is to adopt an efficient design evaluation approach, which ensures products perform as expected without unnecessary performance loss through actual use case testing, rather than simplified laboratory conditions. Better performance across the product lifecycle means systems can be deployed faster, stay up constantly and remain stable. The Role Of Thermal Management In Achieving Real Uptime Thermal management plays a critical role in ensuring consistent hardware performance. Traditional solutions, such as thermal paste, may show improvement in isolated tests, but they don't scale well for real-world use in data centers. Alternatively, aligned carbon nanotube (CNT) technology offers long-term stability and reliable performance, even under extreme workloads, and continues to improve over time. To achieve true uptime, data centers must invest in better thermal management, power distribution and reliable, serviceable components. Investing in reliable technology, such as high-performance thermal interfaces, ultimately enables businesses to increase performance and profitability. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
