AI Myths

Artificial intelligence: truth or myth?

 
Statements about AI are very diverse. They reach from "new superpower" to "much noise about nothing". In this article, you will learn truths and myths according to AI.

How much do you know about artificial intelligence (AI)? Can you tell what is a truth or myth concerning AI and machine learning? Test your knowledge here.

As developers and distributors of AI-based predictive analytics software for B2B sales, we spend the whole day dealing with topics related to machine learning, artificial intelligence and its acceptance in the B2B sector.
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Artificial Intelligence in B2B Sales

Why using artificial intelligence in B2B sales is inexorable.

 
Would there be a B2B digital transformation without predictive analytics software?

What comes to mind when you think of Thomas Alva Edison? My first thought is still: The first inventor of the light bulb. And this, although a well-known fact, is not entirely true. He optimized it and thus made it suitable for mass use - but he didn't invent it.

Similarly, we credit Samuel Morse with having invented the electric telegraph. Morse did indeed independently develop and patented a recording electric telegraph in 1837. However, he was not alone. There were, in fact, five claimants, including the German physician, anatomist, and inventor Samuel Thomas von Sömmering.

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Predictive Analytics B2B Glaskugel

Why predictive analytics for CRM is not a magic ball

 
Learn what predictive analytics in b2b sales can and cannot do.

Predictive analytics enables companies to determine forecasts and probabilities of occurrence from customer data - you can visualise these forecasts in your CRM (Customer Relationsship Management System). The result is, for example, a sales target that you can probably achieve. However, many people make a mistake when interpreting these results.

In another blog article, I already described that managing directors and sales managers would like to know why certain events occur or not, why specific customers churn. Why one product does not sell or sells more difficult than another. Why a promising lead does not turn into a customer in the end and remains a non-binding contact.

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Predictive Analytics Fakten

Four facts about predictive analytics that you should know today

 
Predictive Analytics and AI - If you want to use this technology, you should first understand it.

If you keep up to date with new technologies, you have undoubtedly come across several professional articles about Predictive Analytics (PA).

According to the Harvard Business Review, experts agree that predictive analytics delivers a significant gain from your data: actionable information. Precise forecasts are the holy grail for sales decisions in the B2B sector.

But anyone who wants to use predictive analytics profitably should also understand it. For this reason, we have compiled four facts about PA that are often underestimated or ignored in practice.

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Cloud based AI Software

Why AI-based sales software is cloud-based

 
Trend in B2B sales shows clearly towards expanding services from the cloud.

The Internet has long since ceased to be just a means of communication. Companies today obtain a wide variety of software and countless services directly from the cloud. B2B sales can also benefit from cloud-based AI software.

The development of cloud computing began around 60 years ago. To understand what was going on at that time on a technical level, you first need to detach yourself mentally from what we know today by a cloud - or cloud computing.

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Customer Analytics, Kundenanalyse, Kundenwert

Predictive Customer Analytics: From customer analysis to customer value

 
Customer analytics with predictive analytics can provide valuable information for sales activities.

Do you really know your customers - and not only the large-scale customers? Successful Customer Analytics should provide you with all the critical information about your customers. What are their preferences? How do they shop?

Using customer data, predictive analytics can determine individual opportunities for offers and subsequently determine the value of a customer.

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Trends im B2B Vertrieb 2020 und 2021

B2B-Trends 2020/21: The Top 6 in Sales

Whether digital platforms, AI or chatbots. In the future, B2B sales must deal with these six critical trends.

Experts guess every year what the next hot B2B trends will be. Artificial intelligence is on the main scenario now, for B2B sales and its future development potential.

We have looked at several studies and sources and have summarized the top six you should know now.

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B2B Customer Journey Management

How to improve your B2B Customer Journey with Predictive Analytics

About the b2b Customer Journey Management and how Predictive Analytics can help.

Predictive analytics, customer-centric selling, and optimization of the customer journey (CJ) have long been part of everyday life in the B2C sector. In the B2B industry, things look somewhat different. First projects are starting, the theory has already been heard and understood - but there is still a lot of uncertainty regarding the concrete implementation.

That is no wonder. There are some fundamental differences between the B2C and B2B sector. For example, business customers often have higher expectations of the business relationship. It is more important for salespeople to build a personal relationship with their customers and to know their customers.

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AI in B2B Sales? Machine Learning vs. Humans

The interaction between humans and AI in B2B sales.

AI in sales uses machine learning to supply humans with sales insights and recommendations. Machine Learning generates these sales alerts using recurring patterns of customer data.

However, where direct contact between seller and buyer occurs, the human factor still plays a fundamental role. The automation of sales processes significantly reduces administrative tasks in a company. Algorithms replace individual manual functions that are performed by human hands and make our efforts redundant.

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Predictive Analytics Blog – The Best of 2019

 
Es ist wieder soweit: Das Jahr neigt sich rasant dem Ende zu und wenn wir zurückschauen hat sich 2019 einiges bei Qymatix getan.

KI und maschinelles Lernen dringt immer weiter in die Unternehmenswelt in Deutschland vor. Das haben wir dieses Jahr – in positiver Weise – deutlich zu spüren bekommen! Spannende Projekte, neue Kooperationen und Interessenten haben uns dieses Jahr durchweg begleitet.

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