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Showing posts with the label AI

Salesforce - Under The AI Cloud

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 Salesforce - Under The AI Cloud  -- Marc Known for his mission and marketing mantra, ”The End of Software" Revolutionised the CRM industry by introducing Cloud-based service.  Despite facing tough competition from companies like Oracle, SAP, and Microsoft, it has emerged as the leader in this field. Today it commands 23% of the Global Market Share. Strategically acquired companies like Tableau, Slack (Data & Analytics) and MuleSoft (PaaS) to build a platform-centric flywheel by integrating CRM and Business System applications. With a Market Cap of US $209Bn and a Robust Economic Moat, it can become a $500Bn company by the end of this decade. Strategic shift from Competition (MSFT 365, ORCL) to Cooperation (Google, OpenAI) Risks to AI Ambitions My other posts on  AI Value Chain , Microsoft Transformation - The King of AI in Software and Cloud   and how  Generative AI can transform Telecoms ,  Energy and Utilities Source:  Seekingalpha ,  Bloomberg , Martinfowler.com,  Databric

NVIDIA - Godfather of AI - Why the Market is Bullish

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 NVIDIA - The Godfather of AI - Why the Market is Bullish Key Message Q2 FY23 -  The data centre business, driven by demand from cloud providers and internet companies, played a vital role, contributing $10.32 billion (76% of total revenue). Gaming revenue also grew positively to $2.49 billion. Products like the H100 tensor core GPU, DGX supercomputers, inference platforms, and AI Infrastructure-as-a-Service in the cloud are poised to transform AI delivery, partnered with major cloud providers. Today Nvidia commands 70% of the AI Chip market. Other Key players are AMD, ARM (Softbank) and Intel.  If you take the other Nvidia divisions separate them out and add them together, revenues were up by 9.9% to $3.18Bn. That’s another way of saying that the Nvidia datacentre business is now 3.2x bigger than the rest of Nvidia, and the datacentre business now accounts for 76.4% of the overall sales for the company. A single chip can cost upwards of US$40K  and Open AI used about 10,000 of them to

Open AI - Why Google is Threatened

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  Open AI - Why Google is Threatened If search without AI was an order of complexity - one, then search with AI is like an order of complexity two. Google is now launching its own #AI chatbot - BardAI which will respond to complex queries instead of simple questions served by google doodle. AI is now venturing into more complex tasks; hopefully, more players will participate and emerge. More info on Open AI can be found here

Weekend Reading

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  My predictions on Macro Economic View of Australia FY23 How Humans and AI are Collaborating  The B2B Lead Gen Stumbling Blocks and How to Overcome Them Given the complex nature of B2B lead generation, it goes without saying that there are plenty of stumbling blocks that can hinder lead gen efforts. With this in mind, we’re diving into the common pain points marketers experience when filling the funnel while offering solutions that lead to better marketing results. 1. Marketing Without a Cohesive Lead Generation Strategy  2. Marketers are Focusing on Lead Quantity Instead of Quality  3. There are Gaps in Content Marketing Efforts  4. Content Marketing Isn’t Aligned with the B2B Buyer Journey  5. Marketing Efforts Aren’t Consistently Optimised  B2B buyers Transparency make Vendor Purchase Easier Research has shown that nearly two-thirds (65%) of B2B buyers felt vendors placed more emphasis on selling than they did on listening to their needs. Because of this, buyers are turning to othe

Top 10 Artificial Intelligence Companies in Media Ecosystem

Top 10 Artificial Intelligence Companies in Media Ecosystem  Appier  GumGum  Sizmek by Amazon  IBM Watson  Dstillery  Invoca  Influential  Quantcast  Heuritech  NetBase Quid  More details here

Weekend Reading

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  Bridging the gap: How and why product management differs from company to company Companies, like many in New York, that are introducing solutions to mature industries tend to be sales-driven, so product teams are informed by what customers will readily buy and are measured based on output and revenue. Companies, like many in the Bay Area, that are creating new categories are generally vision-driven, so product teams are more cross-functional and iterative, and are measured based on validated learnings and outcomes. The two models on each end of the spectrum manage risk differently and, with regard to startups, offer a varied range of results. Predicated on introducing solutions to previously unarticulated problems (e.g. Snapchat), Bay Area startups and product managers are tasked with launching moonshots. Failure is more frequent and expensive but success is exponential in size. How Marketing can assist in Maximising Growth Fortunately, there's a good rule of thumb called

Weekend Reading

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 Tomorrows Tech Giants Tips for Social Selling AI for Product Management    Scaling SAAS Companies What Buyers need to do influence Sellers (src: Marketingcharts)

Thinking Hat - #1

No such thing as difficult people   Who wants to reboot the internet  Collaboration key to success in sales   Impact of AI Effective Sales need both vertical and horizontal alignment Enabling Customer Journeys Five growth strategies