Blog Archives - Radicalbit

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L. Gastaldi


Netcomm Forum 2022: live shopping & GUESS Europe’s best practices

We joined Netcomm Forum 2022 and showcased the best practice of GUESS Europe for its live shopping and Ecommerce marketing strategy with GOLIVE. We showed how our innovative platform can increase sales and improve customer loyalty.

16 June 2022

Radicalbit


Kafka Summit 2022: Keynote highlights

Kafka Summit is an event that we couldn’t miss. Not only it’s an amazing opportunity to meet with other Kafka enthusiasts, but it’s also a chance to learn new things and network with the best of the best in the industry.
We were thrilled to sponsor and speak at this incredible event! Here are the Keynote speech highlights.

26 May 2022

L. Gastaldi


How to reduce energy waste with AI

Applying AI to real-time IoT data brings prompt advantages for companies, like a considerable reduction in energy and raw material waste.

30 March 2022

S. Sirichatpaphakul


Artificial Intelligence in E-commerce

How does AI work for e-commerce implementation? In recent years, online shopping has become more widespread to almost all demographics. Let’s take a look at the most recent AI applications to e-commerce platforms.

24 February 2022

L. Gastaldi


Top AI applications in Digital Marketing

Artificial Intelligence and Machine Learning are already changing the world of marketing as we know it. These technologies help enhance and quicken countless marketing tasks, improving customer experiences and driving conversions. Here is a selection of some AI and Machine Learning solutions that can be extremely helpful for marketing purposes.

24 January 2022

L. Gastaldi


Top 7 AI and Machine Learning trends to watch in 2022

Just imagine the massive impact AI and Machine Learning have on our lives and jobs. According to SEM Rush, for instance, the global AI market is predicted to skyrocket in the next few years. Here are some 2022 predictions for AI and Machine Learning applications.

15 December 2021

A. Spina


Tackling Data Challenges for a real-time MLOps platform

Moving Artificial Intelligence models to production environments for IT businesses is as much crucial as painful. This article will show how to wrap ML models into containers, how Seldon helps Ops engineers to orchestrate thousands of models together and how Apache Kafka connects these assets with heterogeneous data and heavy workloads.

25 November 2021

D. Fiacconi


What’s the right time to train ML models, again?

Building a performing Machine Learning model requires a significant amount of time to experiment. A data scientist tries different algorithms or different feature engineering strategies before getting the model right. Once the model is tuned to its best, it may be time to serve it in the production environment.

24 August 2021

P. Filippelli


How can a Service Mesh improve your microservices architecture?

A wealth of interesting technologies and methodologies has risen in recent years under the “Cloud Native” umbrella name, and their impact in our lives as developers has been very deep.

25 May 2021

M. Mastrosimone


Sparking joy in a design system

Any frontend developer will have experienced the pleasure of opening the newly released page with the Chrome inspector finding a clear and semantic clean code. Not even Marie Kondo could do better!
How many times has it happened to you to review some old code and think: “gosh, how bad is this? ? who assigned the classes? What a mess!“.

19 April 2021

A. Ferretti


Online Machine Learning: INTO THE DEEP

Online Learning is a branch of Machine Learning that has obtained a significant interest in recent years thanks to its peculiarities that perfectly fit numerous kinds of tasks in today’s world. Let’s dive deeper into this topic.

17 March 2021


How to blend Artificial Intelligence with Live Commerce

The customer intelligence process contains a collection of customer data via multiple channels and includes the use of technologies such as feedback management, social media monitoring, Natural Language Processing (NLP) as well as other advanced analytics and data management technologies.

1 February 2021

M. Riva


Alexa, make my database smart!

In recent years, smart speakers like Amazon Alexa, Google Home, and Apple HomePod have increased their market share, and according to the forecast, their popularity will continue to grow. The cool thing about smart speakers is that they’re deeply customizable thanks to their SDKs, thus creating new ways to interact with them.

1 February 2021


A New Era of Retail is coming

Retailers recognize that COVID-19 will have a significant impact on their business and it’s time to think through the longer-term implications. According to analysts’ studies, there are key areas where retail execs should be focusing their attention in today’s highly-fluid social, economic environment.

4 June 2020


Real-time analytics in Retail: why it matters

In the era of the hyper-connected consumer, providing a personalized experience is the key to success: enterprises that fail to cater to specific customer needs lose out and clients soon switch loyalties to their competitors. That’s why companies need to leverage analytics at the most opportune time and place.

27 March 2020