Digital Intelligence Course

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Excel in a World Being Continually Transformed by Technology

Technology is changing the way we live and work. To succeed in today’s fast-paced environment, you need to stay ahead of the curve. The Digital Intelligence course is designed to help you do just that.

This comprehensive course will help you develop the skills you need to navigate the digital landscape and make informed decisions. You’ll learn how to:

• Identify and assess digital opportunities and threats
• Develop a digital strategy that aligns with your organization’s goals
• Make data-driven decisions
• Engage with your audience through digital channels
• Measure and optimize your digital initiatives

Why Choose HBR Learning’s Digital Intelligence Course

At HBR Learning, we’re dedicated to helping you develop the skills you need to succeed. Here are just a few reasons why you should choose our Digital Intelligence course:

• Expert instruction: Our courses are designed and taught by experts in the field
• Flexibility: Learn at your own pace, whenever and wherever you want
• Portability: Access your course from any device, at any time
• Credibility: Earn badges that you can share on LinkedIn and your resume

Get Started Today

Don’t wait to start building your digital intelligence. Enroll in the Digital Intelligence course today and start developing the skills you need to succeed in a rapidly changing world.

FAQs

What is the Digital Intelligence course?

The Digital Intelligence course is an online training program designed to help you develop the skills you need to navigate the digital landscape and make informed decisions.

How long does the course take?

The course is self-paced, so you can complete it at your own speed. The average completion time is 6-8 hours.

What is the cost of the course?

The cost of the course varies depending on the package you choose. Contact us for more information.

What is the format of the course?

The course is an online, self-paced program that includes video lessons, interactive exercises, and quizzes.

What are the benefits of taking the course?

By taking the Digital Intelligence course, you’ll gain the skills and knowledge you need to succeed in a rapidly changing world. You’ll be able to make informed decisions, engage with your audience, and measure and optimize your digital initiatives.

For a Slew of AI Chip Companies, DeepSeek is the Opening They’ve Been Waiting For

A Day After Chinese Upstart DeepSeek Wiped More Than $800 Billion from the Market Caps of America’s AI Chip Juggernauts

A day after Chinese upstart DeepSeek wiped more than a staggering $800 billion from the market caps of America’s AI chip juggernauts, you’d think that Andrew Feldman, CEO of next-gen chip company Cerebras, would be locked in a humid war room plotting how to save his company. Instead, he’s celebrating.

We’re Sort of Rejoicing

“We’re sort of rejoicing,” he told Forbes. “These are great days. We can’t answer the phones fast enough right now.”

A Jolt of Interest

It sounds counterintuitive for an AI chip startup, but Feldman says his company, which is expected to go public later this year, has experienced a jolt of interest since DeepSeek has upended the general convention in Silicon Valley that more chips and bigger budgets equal better AI.

Each Time We Made Compute More Performant and Made It Lower Cost, the Market Got Bigger, Not Smaller

“Each time we made compute more performant and made it lower cost, the market got bigger, not smaller,” Feldman said. “Every single time.”

Cerebras Builds Chips Designed Specifically to Make It More Efficient to Use AI

He’s so bullish because Cerebras, currently valued at $4 billion, builds chips designed specifically to make it more efficient to use AI. This process is called “inference” — basically, the act of running an AI model and allowing it to “think” and reason like a human, as opposed to the work of feeding data into the model to teach it how to do that thinking to begin with. Inference is what happens every time you ask ChatGPT to write an email or work through a coding problem.

DeepSeek’s Claims Are Being Hotly Disputed

DeepSeek’s claims — that it trained V3, a 671 billion parameter language model released in late December, in two months for just $5.58 million, orders of magnitudes less than the $100 million OpenAI spent on its (albeit larger) GPT-4 model — are being hotly disputed. Many in the industry believe DeepSeek used more money and compute power than the company let on, with Scale CEO Alexandr Wang claiming the company possessed around 50,000 H100s, state-of-the-art Nvidia chips banned in China.

A Self-Serving One for This Cadre of Companies Vying to Dethrone Nvidia

The reaction is a self-serving one for this cadre of companies vying to dethrone Nvidia, now worth $2.93 trillion even after a 17% market drop on Monday that wiped out nearly $600 billion in value. The dive was “a judgment on the fact that most of Nvidia’s business was tied to these large companies buying lots of racks of GPUs for pre-training” — not for inference, said Liang.

Conclusion

DeepSeek’s success has sparked a shift in the AI industry, and companies like Cerebras are reaping the benefits. With the rise of open-source models and the increasing importance of inference, it’s clear that the future of AI is bright for these smaller chip companies.

FAQs

Q: What is DeepSeek?
A: DeepSeek is a Chinese AI company that has disrupted the industry with its open-source models and claims of training AI models at a fraction of the cost of its competitors.

Q: What is inference in AI?
A: Inference is the process of running an AI model and allowing it to “think” and reason like a human, as opposed to the work of feeding data into the model to teach it how to do that thinking to begin with.

Q: What is Cerebras?
A: Cerebras is a next-gen chip company that builds chips designed specifically to make it more efficient to use AI.

Q: What is Nvidia’s response to DeepSeek’s claims?
A: Nvidia has responded to DeepSeek’s claims by touting its own inference capabilities and stating that inference requires significant numbers of Nvidia GPUs and high-performance networking.

What Net Present Value Can’t Tell You

The Limitations of NPV

Net Present Value (NPV) is a widely used metric in finance to evaluate the profitability of a project or investment. It calculates the present value of future cash flows by discounting them using a rate of return. While NPV is a valuable tool, it has its limitations and cannot provide all the information needed to make a decision.

1. Risk and Uncertainty

NPV assumes that the future cash flows are known with certainty. However, in reality, projects are often subject to risks and uncertainties that can significantly impact the actual cash flows. For example, a project may face unexpected delays, changes in market conditions, or unforeseen expenses, which can reduce its NPV. NPV does not account for these risks, making it an incomplete measure of a project’s potential.

2. Opportunity Costs

NPV only considers the cash flows associated with the specific project being evaluated. It does not take into account the opportunity costs of investing in that project, such as the potential returns from alternative investments. This can lead to suboptimal decisions, as the NPV may not reflect the true cost of capital.

3. Time Value of Money

NPV assumes that the discount rate is constant over time. However, in reality, the time value of money can vary significantly over different time periods. For example, a dollar received today is worth more than a dollar received in five years. NPV does not account for this variation, making it an incomplete measure of a project’s value.

4. Inflation

NPV assumes that the cash flows are not affected by inflation. However, inflation can significantly impact the purchasing power of money over time. NPV does not account for inflation, making it an incomplete measure of a project’s value.

5. Social and Environmental Impacts

NPV is a financial metric that only considers the financial returns of a project. It does not take into account the social and environmental impacts of a project. For example, a project may have significant environmental impacts or social costs that are not reflected in its NPV.

Conclusion

While NPV is a widely used and valuable metric, it has its limitations. It cannot account for risks and uncertainties, opportunity costs, time value of money, inflation, and social and environmental impacts. To make informed decisions, it is essential to consider these limitations and use NPV in conjunction with other metrics and tools.

FAQs

Q: What is Net Present Value (NPV)?
A: NPV is a financial metric that calculates the present value of future cash flows by discounting them using a rate of return.

Q: What are the limitations of NPV?
A: NPV assumes that the future cash flows are known with certainty, does not account for risks and uncertainties, opportunity costs, time value of money, inflation, and social and environmental impacts.

Q: What should I use in conjunction with NPV?
A: You should use other metrics and tools, such as sensitivity analysis, Monte Carlo simulations, and environmental impact assessments, to get a more comprehensive view of a project’s potential.