How to increase revenue from your customers with predictive analytics

You have been collecting a lot of data about your business and customers. But are you taking advantage of it? With predictive analytics, you can. | Continue reading


@neoteric.eu | 4 years ago

AI projects fail – here's why

It's estimated that 85% of AI projects fail. How does that happen? Are there any steps you can take to make sure your AI projects will succeed? | Continue reading


@neoteric.eu | 4 years ago

Are you ready for artificial intelligence?

AI implementation is a process that requires a strategic approach. AI is ready to become a part of any business - but is your organization ready for AI? | Continue reading


@neoteric.eu | 4 years ago

How much can we trust AI?

The trust we have for any technology is usually limited. With artificial intelligence, we can be even more skeptical. How much can we trust AI? | Continue reading


@neoteric.eu | 4 years ago

Mistakes of AI adoption: mismatch of business and tech

What are the common mistakes of AI adoption? Organizations often struggle with the business/tech alignment. See how to avoid making the same mistakes. | Continue reading


@neoteric.eu | 4 years ago

Mistakes of AI adoption: lack of data strategy

In AI adoption, use data - information - to make the decisions at every step of the way. Creating a good data strategy is a good start. | Continue reading


@neoteric.eu | 4 years ago

Dynamic pricing in practice: is it for everyone?

Is dynamic pricing good for every business? Check out the examples from Amazon and Uber and see what mistakes you should avoid. | Continue reading


@neoteric.eu | 4 years ago

What's the Use of Dynamic Pricing?

What is dynamic pricing and how is it used? Learn more about the basics of dynamic pricing and the good practices to follow when implementing it. | Continue reading


@neoteric.eu | 4 years ago

Is it worth it? ROI of recommender systems and implementation challenges

How can you measure the ROI of recommender systems? Learn more about important metrics and possible challenges of recommendation engines. | Continue reading


@neoteric.eu | 4 years ago

eBook: Predictive Analytics for Business

Download the ebook and learn what are the reasons for AI adoption and how to implement it in less than a month. | Continue reading


@neoteric.eu | 4 years ago

How to Build a Recommender System? Learn from the Best: Netflix, Amazon, Google

Building a recommender system requires a strategic approach. How to get ready for deploying it? Should you follow the lead of Netflix, Amazon or Google? | Continue reading


@neoteric.eu | 4 years ago

AI in education: Can AI improve the way we teach and learn?

AI in education makes learning more accessible and individualized and prevents students from dropping out of courses. See how AI improves the way we learn. | Continue reading


@neoteric.eu | 4 years ago

How to increase revenue with predictive analytics

How can companies use predictive analytics for sales and marketing to increase revenue and maximize ROI? Learn about some of the most effective use cases. | Continue reading


@neoteric.eu | 4 years ago

How to boost sales with a recommender system

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@neoteric.eu | 4 years ago

What are the things you must consider before implementing AI in your business?

AI implementation seems difficult, time-consuming, and expensive. Is it really like that? Let's go through a list of things to consider before adopting AI | Continue reading


@neoteric.eu | 4 years ago

Node.js vs. Python – Software House That Helps You Innovate – Neoteric

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@neoteric.eu | 4 years ago

Ruby on Rails vs. Node.js – which technology is better for your app?

Node.js and Ruby on Rails are two popular solutions used in web development. Which one will be a better choice for your app? | Continue reading


@neoteric.eu | 4 years ago

Node.js vs. JAVA – which solution is better

Node.js vs Java - how to tell which technology is better for your next projects? In this article, we analyze features of Node.js and JAVA. | Continue reading


@neoteric.eu | 4 years ago