NVIDIA, Salesforce, & SAP AI Thought Leader | Wiley Best Selling Author | Gartner Ambassador | CEO V Squared – Over $3.7B In Value Delivered.
Google is better at AI than Microsoft. They have better models, but Microsoft’s releases are outperforming Google’s. How is that possible? Microsoft is better at productizing and commercializing AI. The fact that Microsoft can beat a more advanced competitor shows how critical those two capabilities are. A competitor that is better at delivering solutions to customers will win even with less advanced capabilities and models. To succeed, AI products must: 1?? Fit into customers’ workflows and meet a need they’re willing to pay for. 2?? Fit the business model and how the company currently monetizes products. 3?? Have a path to production that includes integration into existing product lines and support for continuous improvement post-release. 4?? Meet not only functional but also reliability requirements. Most businesses tackle these challenges last when it costs the most to resolve any problems they uncover. They call this the AI last mile problem, but it’s really a first mile problem. Monetization, productization, and commercialization must happen upfront. Businesses need playbooks and frameworks to manage all 3 pieces without slowing initiatives down. Data and AI Product Managers are critical success factors. Without them, no one is accountable for those 3 pieces, and they don’t get done until after the model is delivered. #datascience #productmanagement #datastrategy
"Google is better at AI than Microsoft..."* *Citation needed
That's debatable; IMO, the problem with Google is that they chose to put more effort into delivering models free of bias and ethical lapses instead of capturing the market with innovative AI products. Now they are paying the cost of their decision. In the end, the worst part is that according to some Google employees, Google is making compromises on misinformation and other harms to catch up with ChatGPT. But well, it's only my opinion. https://www.bloomberg.com/news/features/2023-04-19/google-bard-ai-chatbot-raises-ethical-concerns-from-employees#xj4y7vzkg
What about BigQuery ML? It is much more advanced and widely used than any Microsoft predictive AI solution.
This is true across many initiatives, not just AI. Value for business comes from delivering workable outcomes that can be readily deployed allowing the business to absorb the changes and impacts and move forward
Although both Google and Microsoft are technology companies that rely on engineering and product development to drive their businesses, there is a difference in their approach to decision-making. Google's decisions tend to be more engineering-driven, with a focus on developing new technologies and capabilities that can be integrated into its products and services. In contrast, Microsoft's decisions are more product-driven, with a focus on delivering innovative products and services that meet the needs of its customers.
Google’s Vertex AI platform smooths ML deployment lifecycle and out-of-box ML APIs exist for major use cases, making adoption simple: https://cloud.google.com/vertex-ai/
Totally agree..proper product design is tge key success factor...otherwise the outcome would be a "technology waiting for a problem to solve"
It's wonderful to see such insightful content on the intersection of data science, product management, and data strategy. Your perspectives on the importance of aligning business objectives with data-driven decision-making are spot on. I especially appreciated your practical advice on building a data culture within organizations.
OpenaAI is better than Google and Microsoft at LLMs. Microsoft made a great decision to snap up OpenAI. Google and Microsoft were comfortable and didn’t need to be innovative. AI has changed everything. Now everyone has LLMs at thier disposal.
?? Machine Learning Engineer | ?? Data Scientist | ?? Analytics Engineer | ?? Deep Learning | ?? Quantum Materials Researcher | ?? Quantum Computing Enthusiast
1 年So far, Microsoft AI products seem better than Google's—at least the recent releases for a large-scale audience. Also, there are so many reviews with a common trend that Microsoft is better. Perhaps Google has a more research focus team, but their delivers could be better for now. So why exactly is Google AI better? I am curious.