Aug

Reality of Bootstrapping

Going after investors? Do you know that less than 1 percent of startups actually raise VC (or angel) capital, which means that the vast majority are self-funded. Yet the main reason for it simply lies in the inability of most companies to find investors.

Bootstrapping, however, has several strategic advantages for your company's future growth. Perhaps the biggest is retaining the majority of shares and control over the strategy and direction your company is moving towards.

It also teaches financial discipline. Bootstrapping at the start helps to understand the importance of  revenue and cash flow, as opposed to unabridged product development, and keeps you connected to your company's financial reality. Only when profitability increase do you then green-light new opportunities, increased risk-taking, and growth acceleration.

In reality, the founders are expected to be flexible.  While entrepreneurs have certain intentions and philosophies when they are starting out, a hallmark trait for successful founders is the ability to adapt to changing environments and opportunities.

Sometimes, that means waiting a long time to generate the financial metrics that really matter, revenue and profit. By challenging your leadership team to focus on building the business organically and figuring out how to make the company consistently profitable on a model that can scale without VC capital, you make your company more valuable to future investors.

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AI unmasked: Have chatbots failed?

It is becoming increasingly popular to say that chatbots have failed and are overhyped.

While it is true that in many cases expectations from chatbots significantly exceed the results on the ground, the anticipation of chatbots’ demise are somewhat premature. 

One of the main problems for chatbots is that the market is inundated with low quality solution providers who deliver low quality results. This happened because conversational AI seems to have low entry barriers. Unlike other recent technological darlings such as space technology or renewable energy, conversational AI is purely software and therefore does not require vast sums of initial investment. 

What this approach is missing however,  is that conversational AI, in addition to being a software, also requires an accurate understanding of how language works. And there is a limited number of people in the world that do have such understanding.

When conversational AI is delivered by AI experts who understand the way human language works, the results are good and convincing, just as how you would expect them to be.

Suffering from unsatisfactory product quality is a common problem for many new and emerging industries.  The rules of the market dictate that most of the low quality players will eventually disappear. Poorly created chatbots will therefore not be around for too long.

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Abundance of Information Often is a Liability

A massive change has occurred in the world during the last ten to twenty years. Until recently and throughout the history of mankind information was hard to access. Obtaining and sharing information was either a laborious process or impossible, and the underlying assumption was that information can never be enough.

Today, of course, we have the opposite picture. Not only information is easily available, it keeps pouring in from a growing number of sources, and we continuously find ourselves in situations when there is more information than we want or able to process.

A major task we, as species, are facing is therefore how to reduce or filter out relevant information. It is, to repeat, in direct opposition to the task we’ve been accustomed to during all previous centuries, which was how to obtain information.

Since this change took place only recently, within a lifetime of one generation, we didn’t have time to develop efficient set of procedures to address the new problem. But the work has started and will only accelerate with time.

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