Ralf Meyer

OpenAI Inks Deal With PwC To Resell ChatGPT To Businesses "This is big move for OpenAI to increase its enterprise sales and equally big for PwC to be the first ChatGPT reseller, will definitely keep a close eye on this one". PwC announced a major deal with OpenAI to resell ChatGPT to other businesses. The deal makes PwC the first reseller of OpenAI's business-focused chatbot, ChatGPT Enterprise. Previously, companies had to reach out to OpenAI directly to access the enterprise chatbot. PwC becomes the largest user of OpenAI’s business product, gaining access to the most powerful version of ChatGPT. The tool will be available to 100,000 PwC workers, with three quarters of them in the U.S. PwC is developing custom AI tools to aid in tasks such as reviewing tax returns, software development, and generating reports. The terms of the deal were not disclosed by PwC. Generative AI, particularly ChatGPT, is seen as opening new frontiers in the workplace by streamlining tasks and potentially replacing some white-collar jobs. For more information: https://lnkd.in/dqUvPzhJ #PwCOpenAIdeal #ChatGPTEnterprise #AIforBusiness #GenerativeAI #DigitalTransformation #FutureOfWork #TechPartnership #AI

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#AI everywhere? Sustainable or Not? What path do we take? What is more important? All the big players are coming with news around their emission. First it was Microsoft now Google, who is next...? The surge of energy consumption is pretty big, about 30%. It seems obvious that AI is the culprit... Off course it is not just AI but still the trend of these massive increases is not one we want to continue on. It is a worry development, looking at the fact that over the past 5 years the energy consumptions has been going up instead of down. Don't get me wrong im not advocating not to use AI or stop everything, but I'm advocation that we rethink why, how and when we use AI. And I'm advocation for rethinking what type of models we are building and using. It really is something we need to get right as we are still early in our AI everywhere journey. Off course more efficient hardware, better training methods for models, smaller models, different models and more sustainable energy will enable us to safe some energy but will it be enough when we really start scaling AI in the core of our businesses? Stay curious 🧐 it is one of those Friday's where some hard thinking 🤔 is need to make sure we make decisions that are still good for the long run. We now we need to low our emission and this technology development is certainly not helping. We need to remain critical in thinking. happy Friday! 😃 #technology #idealoading #sustainableAI #energy

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#CSO panel at Datamaran academy #nyclimateweek w Dirk Voeste Niki King Susanne Katus - value creation for sustainability must be forefront while being compliant - currently over 60% of sustainability teams are busy collecting data for reporting and not focused on having a real world impact - this is where a good governance infrastructure comes in, ensuring that the focus is not just compliance or ticking the box - the CSO has a key role in explaining how certain regulations can be translated into value for the organization

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A 12% YoY Dip in Cloud Cost Optimization Searches Signals a Shift in How Companies Leverage the Cloud. 𝗦𝗮𝗮𝗦 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗮𝗿𝗲𝗻'𝘁 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝘀𝗵𝗶𝗳𝘁 𝗶𝗻𝘁𝗼 𝗻𝗲𝘄 𝗰𝗹𝗼𝘂𝗱 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀; 𝘁𝗵𝗲𝘆'𝗿𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗳𝗼𝗿 𝗴𝗿𝗼𝘄𝘁𝗵. Cloud cost optimization remains a high priority for 95% of CXOs over the next two years, according to Battery Ventures's State of Cloud Software Spending report. However, the preference for third-party FinOps solutions over provider tools suggests companies want to maximize their current cloud environments, not just jump ship to cut costs. With egress fees making it expensive to move data out, companies are incentivized to stay and use FinOps tools to cut cost inefficiencies and invest in revenue-generating optimizations instead. This growth-oriented approach further manifests through cloud-hosted Digital Sales Rooms adoption to boost sales. These centralized spaces revolutionize how sales teams engage prospects through multimedia presentations, real-time collaboration, and seamless content sharing—bringing value propositions to life. The ROI is impressive.  Take RELAYTO/ Content Experience Platform, for example, delivering a 47x return over three years and 54x annually once fully ramped, with a two-month payback. Most importantly, conversion rates are up 93% compared to traditional sales meetings. This boost in conversions seems to outweigh the costs.  It's no wonder I've been seeing more and more SaaS companies adopting this trend. What do you think about Digital Sales Rooms? Click 'Follow' for your regular dose of insightful micro SaaS content. #Cloud #Sales #SaaS #Technology

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The #EFRAG has just published today the #Annual #Review #2023 highlights significant progress and key developments in both financial and sustainability reporting over the past year and the first quarter of 2024. #EFRAG's efforts in financial reporting have been marked by proactive research and influential work on various projects, such as enhancing the reporting on intangible assets, addressing variable consideration accounting, and improving cash flow statements. Additionally, #EFRAG has been actively influencing the IASB’s standard-setting activities, providing input on primary financial statements, and conducting post-implementation reviews of #IFRS standards. In sustainability reporting, #EFRAG has focused on facilitating the implementation of #European #Sustainability #Reporting #Standards (#ESRS) by developing guidance documents and a Q&A platform. The introduction of the #Digital #XBRL #Taxonomy marks a significant step toward improving reporting efficiency. Efforts have also been made to ensure interoperability between #ESRS and #ISSB sustainability standards, with a particular focus on addressing the needs of SMEs through tailored exposure drafts and voluntary reporting standards. EFRAG’s work towards sector-specific sustainability standards further underscores its commitment to enhancing corporate reporting.

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Usefulness of GenAI - Goldmann Sachs podcast How about less talking about „revolution“ and „general intelligence“, but implementing where the strengths of the technology are. LLMs are amazing with natural language - summarization, structuring, selection - as this has a large portion of statistics and patterns associated with. Let’s focus on marketing, customer service for standard tasks, para legal work, fraud detection and software engineering including business analysis and requirements engineering as well as quality assurance. #genai #patterns #llms #softwareengineering https://lnkd.in/eAiF2HKn

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‘AI won’t take your job/customer/partner, but someone using AI will’ Credit to ★ Rodger Werkhoven from OpenAI for the root of that quote. Over the last decade we have been no strangers to the threat and opportunity of digital transformation. With AI making waves across industries, it's tempting to think the only strategy is to charge forward, adopt new tech to build prototype agentic use cases. But let's pause and consider: is offense really the best defense in every situation? As anyone whose played me at chess will know my answer is usually, ‘yes of course offence is the only answer’ And in many cases the benefit of gaining early wins, failing fast and learning is the right choice. Though not if you look at my chess record, which Ivan Scattergood can attest to! But in my role at SnapLogic I’ve seen our customers develop both strategies. I love working with our early adopter customers on using our low code integration platform to build AI assistants and agents but instead of focusing solely on offensive tactics, it’s also crucial to also strengthen your defensive strategies. Below are some thoughts on a defensive strategy to adopt alongside or ahead of an offensive one. 1️⃣ Understand Your Data Foundation: Before diving into AI, ensure your data infrastructure is robust, clean, and scalable. AI is only as good as the data feeding it. 2️⃣ Strategic Alignment: AI investments should be tied directly to your core business objectives, not just hasty use cases. This requires careful planning and alignment across functions, not only rapid iteration. 3️⃣ Change Management: You have to take your people with you otherwise any change will fail (at least in the short term). Prioritize upskilling and align AI initiatives with a culture of adaptability and continuous learning. 4️⃣ Risk Management: No change comes without risk but develop a strategy to ensure you can quantify and control that risk. A defensive strategy that accounts for these risks can save you from events that may damage you down the road. AI isn't a silver bullet, and sometimes the best way to respond to the AI threat is not by playing offense, but by fortifying your defenses - ensuring your organization is agile by reducing legacy and technical debt, focus on being data-driven, and strategically aligning across all functions. In this fast-evolving landscape, a balanced approach—playing both defense and offense—can position your company not just to survive, but to thrive. If you would like to talk about how SnapLogic can help you build that robust, adaptable foundation as well as accelerate the integration of AI into your business please, join us at our annual industry event on the 7th November in County Hall, London. Invite in comments below. #AI #DigitalTransformation #DataStrategy #EnterpriseAI #SnapLogic Dominic Shine Dominic Wellington Guy Pantall Guy Murphy Patrick Taylor Jocelyn Arcega Jee H. Miles Eakers Nilesh Parmar Thomas Peach Joe Rickard Vaikom Krishnan

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