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The McKinsey Way: Using the Techniques of the World's Top Strategic Consultants to Help You and Your Business (MGMT & LEADERSHIP)

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If you know anyone who fits that description, fantastic! But for most of us, it's tough to find the right connections to make this happen. And it might also be difficult to practice multiple hours with that person unless you know them really well. Essentially, persuasiveness and empathy go hand-in-hand, and ideally your story should demonstrate both. In any case, you can’t convince someone (that you don't have authority over) to do something if you can’t understand their perspective and their motivations.

Consumers increasingly seek customization in everything from clothing and cosmetics to curated shopping experiences, personalized outreach, and food—and generative AI can improve that experience. Generative AI can aggregate market data to test concepts, ideas, and models. Stitch Fix, which uses algorithms to suggest style choices to its customers, has experimented with DALL·E to visualize products based on customer preferences regarding color, fabric, and style. Using text-to-image generation, the company’s stylists can visualize an article of clothing based on a consumer’s preferences and then identify a similar article among Stitch Fix’s inventory. As discussed earlier, you’ll need around six detailed stories up your sleeve. We recommend outlining ten and then gradually cutting the weaker ones as you start to fill in the details. Based on these assessments of the technical automation potential of each detailed work activity at each point in time, we modeled potential scenarios for the adoption of work automation around the world. First, we estimated a range of time to implement a solution that could automate each specific detailed work activity, once all the capability requirements were met by the state of technology development. Second, we estimated a range of potential costs for this technology when it is first introduced, and then declining over time, based on historical precedents. We modeled the beginning of adoption for a specific detailed work activity in a particular occupation in a country (for 47 countries, accounting for more than 80 percent of the global workforce) when the cost of the automation technology reaches parity with the cost of human labor in that occupation. If you think about doing consulting projects or already do them - it is worth to read that book. If you don't plan do any advisory projects - probably you will be disappointed.

Our analysis suggests that implementing generative AI could increase sales productivity by approximately 3 to 5 percent of current global sales expenditures. Do companies have a role to play in ensuring the technology is not deployed in “negative use cases” that could harm society? However, we’ve found that candidates often find it difficult to distinguish the difference between steps two and three, or task and action . Some also forget to include lessons learned in the results step, which is especially crucial when discussing past failures. Notice how the second example goes straight to the point and only gives the necessary information. A lot of candidates fail to do that in PEI questions, which results in their interviewer asking them to speed up and go to the core of the story. 3.6 Tip #6: focus on YOU

Candidate: So my ball park projection was that working this brand could be worth 360K profit in 3 years - extremely significant given that last year we had made around 140K profit. In the presentation, I compared that estimate against how much this initial pitch investment would cost us - around 3K. Candidate : Yes, some lessons I learned. The creative director, as feared, was pretty unhappy about it at first and resisted taking on the additional work. When he saw how hard I was working on the project, he softened up a bit, and he put in a great performance on the day, but I wish I made more of an effort to win him over earlier. I think I learned the value of getting all the main stakeholders behind the process, not just the ones who have the final say. Treating computer languages as just another language opens new possibilities for software engineering. Software engineers can use generative AI in pair programming and to do augmented coding and train LLMs to develop applications that generate code when given a natural-language prompt describing what that code should do. Improve lead development. Generative AI could help sales representatives nurture leads by synthesizing relevant product sales information and customer profiles and creating discussion scripts to facilitate customer conversation, including up- and cross-selling talking points. It could also automate sales follow-ups and passively nurture leads until clients are ready for direct interaction with a human sales agent. The time limit for the two common mini-games is 71 minutes, and for the others, it may range between 60 to 80 minutes. Each game will also have a tutorial, which is untimed.Perhaps counter-intuitively, a framework also can help you be more natural and authentic in the interview. The solid structure means you’re unlikely to lose your thread, so you can be more relaxed about going off on slight tangents if prompted, or if something suddenly comes to mind. There is also an element of empathy here, and sometimes this question is framed more as "resolving conflict." This is because consultants need to be able to understand the concerns, motivations, and emotions of the people in their team and client organisation. They need to navigate organisational politics and work constructively with people who may react emotionally against them. Staff involves talent management and all human resources related to company decisions, such as training, recruiting, and rewards systems 7. Shared Values

Our analysis did not account for the increase in application quality and the resulting boost in productivity that generative AI could bring by improving code or enhancing IT architecture—which can improve productivity across the IT value chain. However, the quality of IT architecture still largely depends on software architects, rather than on initial drafts that generative AI’s current capabilities allow it to produce.This is the first book I started my digging into consulting industry with - and I think I made the right choice. A very fast and easy reading, I'd say even fascinating. Great for the starters, to give you a general insight into the industry and how it works. Actually, I guess anyone in business management/corporate world would find something useful to get out of it. Some really helpful advise and tips. The speed at which generative AI technology is developing isn’t making this task any easier. ChatGPT was released in November 2022. Four months later, OpenAI released a new large language model, or LLM, called GPT-4 with markedly improved capabilities. 1 “Introducing ChatGPT,” OpenAI, November 30, 2022; “GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses,” OpenAI, accessed June 1, 2023. Similarly, by May 2023, Anthropic’s generative AI, Claude, was able to process 100,000 tokens of text, equal to about 75,000 words in a minute—the length of the average novel—compared with roughly 9,000 tokens when it was introduced in March 2023. 2 “Introducing Claude,” Anthropic PBC, March 14, 2023; “Introducing 100K Context Windows,” Anthropic PBC, May 11, 2023. And in May 2023, Google announced several new features powered by generative AI, including Search Generative Experience and a new LLM called PaLM 2 that will power its Bard chatbot, among other Google products. 3 Emma Roth, “The nine biggest announcements from Google I/O 2023,” The Verge, May 10, 2023.

Talk about a time when you had to work to achieve something in a limited period of time that was outside your comfort zone.” A lot of candidates spend too much time setting the context. You should only give the minimum context needed to understand the problem and the solution in your story. Nothing more. A good test here is to make sure you don’t spend more than 30 seconds on this part of your story. Let’s look at an example.Software engineering is a significant function in most companies, and it continues to grow as all large companies, not just tech titans, embed software in a wide array of products and services. For example, much of the value of new vehicles comes from digital features such as adaptive cruise control, parking assistance, and IoT connectivity.

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