What business should you do now

Seed means being in the vanguard of enterprise applications when it comes to artificial intelligence?

This is a big question, and it is quite wide. Industry industry is involving the one in its landscape. Practically every business is considering how to add it to its equipment. And that means taking into account the general strategy.

So what should the companies do?

Developing front applications is about being safe in your move forward as a company. It is about finding those opportunities that are the most powerful, not only deciding on the first thing you think about, or to throw around for a random plug type.

Increasingly, experts suggest that businesses should “solve their biggest problem” with him. This is something I am listening again and again in the business community.

I encountered this quote from Casse Kozyrkov, who was actually submitted by Chatgpt when I asked him to find a quote from a current business strategy data scientist:

“If your strategic plan is just to” do it “or” sprinkle some machine teachers in it “, you are aiming for a solution in search of a problem. Instead, start by clarifying the problems you want to solve and how They will create value for your organization. “
– Cassie Kozyrkov, “What should a CEO know about machine learning”,

One thing that was interesting was the chain of the thought model for reasoning as it brought me this quote. It began with the naming of anyone other than Andrew ng, which we have actually had in our IIa event in Davos. However, she eventually chose Kozyrkov’s quote to highlight. Since we have unlimited space here online, I am attaching the model’s thought chain at the end of this part if you care.

Thoughts from an interview

In a segment at the IAA event in Davos, Karuana Gatinu of Microsoft interviewed Inma Martinez, who is doing some of this important job as a prominent adviser to Businesses.

Martinez identified a key criterion for front applications: programs that will operate on the scale.

“People want to optimize,” she said. “People want to create prediction, discovery, whatever … you want to do. Small trick is for you to do it on the scale – that’s what really creates something very strong, (as) Build a competitive advantage so you can create progress so that you can really sleep at night, that it is (working well) in the background, and it really is okay.

Gatinu agreed, noting that something like a concept test can be great, but ultimately lacks that scaling until it is ready for the first time.

Speaking about “anxiety of him”, Martinez suggested a first strategy of people, as she talked about involving many people and encouraging shopping.

Then she talked about the basic idea we started with – thinking about a problem that the business could not solve, and applying it to solve it.

“Think of a problem that currently, with your resources, you are unable to solve,” she said, “and then ask yourself: which means of he can really help you deal with all these complexes and The challenge, and then build what level of trust and efficiency you want to achieve? “

Building advances

Later in the interview, the two talked about him in health care and better patient care. They talked about agriculture and sustainability, and what is happening in India, where farmers in this field are doing more with a better data -driven strategy. And they talked about the use of Copilot for research.

“I think he is demonstrating her power … to identify unknown unknowns,” Martinez said. “What it means (this) is … you want to create for operational efficiency, but with him, because it is able to grab data that you don’t even know it was there, simply brings you prospects and information that I don’t You never thought. ”

More on business strategy by chatgpt

Inspired by the distribution of the quota model by human experts, I also went ahead and asked Chatgpt about five ways to implement the corporate strategy with him. I have this:

Development of data -driven strategy

Analytics and predicting forecast

Scenario planning and optimization

Target personalization and commitment

Continuous monitoring and real -time adaptation

“By combining these approaches, businesses can use it not only as an independent tool, but as a strategic source for competitive advantage-helping them move towards optimal decisions and long-term resistance,” the model concluded.

Which of these is most important for your business?

The first of these five uses speaks of that initial idea that you need to get a big problem and solve it with it.

So if you are a CEO or Level C person and you are reading this, hopefully you will leave with some good knowledge of what you really need to do to run the strategy of it, not just in your business, but in the business world in general.

Extras: chatgt cot for quoting him:

Reasoned for 48 seconds

Finding influential knowledge

I am collecting quotes from key data scientists such as Andrew Ng, DJ Patil, Hilary Mason and Cassie Kozyrkov, focusing on their views on the corporate strategy, ensuring that they are widely known and quoted.

Identifying the main figures

I am noticing Andrew NG mirrors in the one that transforms the business and emphasis of DJ Patil into the data strategy data. Cassie Kozyrkov’s prospects for his projects are also considered.

Confirmation quotes

I am verifying Andrew Ng NG on integration of it into the corporate strategy. Also, taking into account the importance of DJ Patil and Cassie Kozyrkov’s perspective on the strategic role of him in business.

Collecting relevant mirrors

I am collecting Andrew NG penetrations to ensure their accuracy. Other sources such as DJ Patil and Cassie Kozyrkov’s prospects are also being considered for a comprehensive understanding of his strategic importance.

By emphasizing the main actions

Leaders are required to identify the value of the business of it, collect the necessary resources and data and ensure that investments and it are aligned with strategic goals to effectively solve specific business problems.

Emphasizing the role of Cassie Kozyrkov

Cassie Kozyrkov’s middle posting in “is a major scientist of the decision” underlines the essential role of approximation of data science tools with business strategy for effective decision -making.

Project extension rating

It is interesting to see that the initiatives of it should be approximated with the goals and culture of the organization’s business, providing strategic coherence and avoiding suboptimal results that fail to escalate effectively.

Approximation of he’s initiatives

Providing it complies with business goals and culture is essential for strategic coherence and the success of scaling, avoiding suboptimal results.

Providing strategic approach

Critical is essential to create a clear strategy of him to identify opportunities and systematically build skills, ensuring high -level approximation and promoting business value.

Setting up the strategy of it

Corporate leaders should describe how it matches their business goals and systematically build the skills needed to achieve this vision, ensuring strategic execution and approximation.

The following is a widely quoted perspective by Cassie Kozyrkov, the leading scientist of Google decisions, emphasizing the importance of approximating the initiatives of he with business goals (rather than for him):

“If your strategic plan is just to” do it “or” sprinkle some machine teachers in it “, you are aiming for a solution in search of a problem. Instead, start by clarifying the problems you want to solve and how They will create value for your organization. “
– Cassie Kozyrkov, “What should a CEO know about machine learning”, Average

Kozyrkov is a well -known leader in data science and the intelligence of decisions. Its quote speaks directly in the notion that the corporate strategy of it should not be about the approval of “AI” in abstract, but to focus on specific objectives, with high business impact-and data security and the skills of it have been developed with a clear strategic purpose.