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
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Yahoo
an hour ago
- Yahoo
Hyundai Builds N Charging Station At Nürburgring To Support Performance EVs
Hyundai Builds N Charging Station At Nürburgring To Support Performance EVs originally appeared on Autoblog. Hyundai's high-performance N division is going all-in on electric speed, and now it has the hardware to match. Fresh off a successful Ioniq 6 N debut at Goodwood, the company has confirmed it will open a new N-branded fast-charging station right at the Nürburgring — one of the most fearsome test tracks on Earth and the spiritual home of the N not just for PR, either. The facility is open to the public, supports rapid charging for any compatible EV, and further signals Hyundai's long-term belief that performance driving and electrification can go hand-in-hand — even in the Green Concept To Charging Cables The Nürburgring station is Hyundai's second N Charging Station globally, following the first one launched last year in Australia. Positioned beside the Nordschleife circuit entrance, the new unit will deliver 150 kW fast charging, allowing drivers to juice up quickly between laps — whether they drive a Hyundai or part of Hyundai's broader transformation into a mainstream EV powerhouse, a journey that's been years in the making. Over the last 50 years, the company has evolved from humble beginnings with the Hyundai Excel to premium offerings like the G90 and radical design shifts that redefined its lineup entirely. What was once a budget badge is now a legitimate force in both electrification and performance . Heritage Meets High Voltage There's symbolism here too. Nürburgring isn't just any track — it's where the N philosophy was born. Hyundai N cars are developed, tortured, and refined on this 13-mile stretch of twisting asphalt. That's why it matters that this is more than just a marketing stunt. With the Ioniq 5 N and now the Ioniq 6 N entering production, Hyundai's electrified N cars aren't concept dreams. They're production comes at a pivotal time. Q2 profits were slightly down, with the company's operating margin slipping nearly 16% amid rising global tariffs. But thanks to surging U.S. sales and record hybrid demand, Hyundai still pulled in roughly $35.3 billion in quarterly revenue, managing to beat analyst expectations by a whisker. Performance For Everyone The N Charging Station is also a nod to Hyundai's inclusive approach. Unlike some brands fencing off their fast chargers for proprietary use, Hyundai is embracing open access. Whether you're lapping the Ring in an Ioniq or daily-driving a rival EV, if your car supports fast charging, you're another reminder that while other automakers chase exclusivity, Hyundai's betting on accessibility, affordability, and performance. Much like its strategy in the U.S. — where the brand sells more cars than ever without even fielding a full EV lineup — the Korean giant continues to prove you don't need to be the flashiest brand in the room to make a lasting impact. Looking Back, Driving Forward This moment is the latest step in a long line of efforts by Hyundai to embed itself into performance culture. Long before the Ioniqs, long before 'N' meant Nürburgring, Hyundai's earlier models helped define its global rise. From unsung 1980s sedans to quirky niche crossovers, the brand has always punched above its weight, often in overlooked with the Nürburgring charger live and its electric N cars in showrooms, Hyundai has tied past and future together with a charging cable. Hyundai Builds N Charging Station At Nürburgring To Support Performance EVs first appeared on Autoblog on Jul 26, 2025 This story was originally reported by Autoblog on Jul 26, 2025, where it first appeared.
Forbes
4 hours ago
- Forbes
7 Business Lessons For AI
From above photo of an anonymous African-American woman analyzing business graph on a laptop ... More computer while sitting at restaurant desk with notebook, pen and eyeglasses. When considering any implementation of AI in a business, leadership teams have a weighty responsibility. This is an approach that people want to get right. They face a few challenges – that the technology is so nascent, that there doesn't seem to be a lot of road maps available for companies, and that many people instinctively distrust large language models to automate processes. So what's to be done? A Leader's Perspective Here's where I recently got some insights from a paper written by Lidiane Jones, who was previously head of Slack, and CEO of Bumble, a major dating platform. Jones breaks down some of the aspects of AI implementation that C-suite people are looking at. Data Transfers and Governance Jones points out that transformations like ETL (extract, transform, load) and ELT (extract, load, transform) predated AI, but data is still siloed in many cases. One solution Jones touts is an 'omnichannel data strategy' – this, she writes, 'will ensure privacy and security of your data, ease of access for business applications, offer real time capabilities and can integrate with your everyday tools.' Compliance with Financial Data Rules For example, Jones speaks about the need to focus on compliance in some areas. 'Every company has critical financial data, subject to audit, regulation and compliance that must be carefully protected,' she writes. 'Normally, for more scaled companies, this data sits on an ERP system. Every CEO, CFO, COO and CRO needs critical real-time insight from these systems, to determine how the business is performing against plans, how expenses are tracking against the budget or how a change in employee investment … will affect the overall cost structure and velocity of the business, among numerous other capital allocation considerations.' Business Intelligence for the Win In terms of general business intelligence, Jones spins a story to illustrate: 'Imagine a Sales Executive who develops a multi-year high trust relationship with one of a company's most important large customer, and she decides to leave the company for a better career opportunity,' she writes. 'Historically, though there will be good information about that customer and notes from this leader, much of her institutional knowledge leaves with her. Corporate human knowledge exists within organizations, and is shaped by the culture, people and business processes.' She then addresses the role of workflow tools and other platform resources. 'Collaboration software of all kinds like Slack, Google Workspace and Teams … have a lot of people's knowledge embedded in them that is hardly ever nurtured,' she adds. 'Unstructured data like this is highly effective in training LLMs, and can provide opportunities that haven't existed before - like capturing the sentiment of what this large customer loved the most about their relationship with this Sales Executive.' She also gave a nod to the potential difficulties, conceding that ' it might feel daunting to expand data strategy planning to be as broad as this,' but notes that partnering with vendors and other firms can help. 'Phasing and prioritizing how you bring more of your data into a single system is key to making progress and capturing business value along the way,' she writes. Agents do the Agenting Jones also makes an important point about the use of AI agents. It goes sort of like this: we're used to computers doing calculations, and digesting and presenting information, but these new systems can actually brainstorm on their own to change processes. 'In many instances, agents can optimize workflows themselves as they determine more effective ways to get the work done,' she writes. A Story of Implementation Citing ChatGPT's meteoric rise, Jones talked about using these technologies in the context of her work at Slack, which is, after all, a business communication tool. She chronicled the firm's connection with companies like OpenAI circa 2017. 'At the time, when I was leading Slack, it was exciting to collaborate with OpenAI, Cohere and Anthropic to use their LLMs to help our customers with some of the most challenging productivity challenges at Slack,' she writes. The challenges she enumerates: 'finding a conversation they knew they had but couldn't remember in what channel, or help customers manage the large amount of messages they received with summaries and prioritization, optimize search for information discovery and so much more.' Then, too, the company created tools. 'We introduced Slack Canvas based templates to help our customers quickly create content based on their corporate information, and captured Huddles' meeting notes and action items, and that was just the beginning,' she explains. 'The capabilities of LLMs gave us the opportunity to solve real-world customer challenges in a pleasant and insightful way, while maintaining the experience of the Slack brand.' Calling this kind of thing the 'table stakes' of the new corporate world, Jones walks us through a lot of the way stations on the path to what she calls 'co-intelligence.' That includes workflow automation, agentic AI, multi-agent systems, and new interfaces. Our AI Brethren Here's one way that Jones characterizes managing an AI: 'Considering autonomous agents as truly 'digital workers' can be a helpful framing for questions we already think of today with 'human workers' like: how does the employer track the quality of the work done? What systems does the digital worker have access to? If the company is audited, how do we track what steps and actions were taken by the digital worker? If the digital worker's actions turn malicious, how do we terminate the agent?' As for the extent of agent autonomy, Jones suggests that fully autonomous agents will be able to handle a complex or 'scoped' job on their own, conceding, though, that 'even an autonomous agent, like a human, needs a job scope and definition - or a set of instructions - on the job at hand.' This new world is one we will have to reckon with soon. Four Principles of Leadership Jones finished with a set of ideas for those who are considering these kinds of deployments. 1. Be hands-on: as a leader, stay close to what's happening 2. This one goes back to prior points: working with vendors and partners is a plus 3. Build an AI-first culture with AI-native projects 4. Find the value for your company I found this to be pretty useful for someone who is contemplating a big move in the age of AI. Some of the best ideas for leadership can be gleaned from TED talks, conferences, and these kinds of personal papers on experience with the industry.
News24
5 hours ago
- News24
In which context is the banana being eaten? When workplace emojis cross the line into harassment
What is the appropriate use of emojis in the workplace and does such even exist? CDH webinar
