article thumbnail

Mapping the evolution of Germany’s blockchain ecosystem

Dataconomy

The high-tide mark for Blockchain startups Looking at the number of blockchain startups incorporated each year across Germany, it’s clear to see that 2018 was a remarkable moment in history, with a staggering 66 new entrants to the market – up from an underwhelming 8 just three years before.

article thumbnail

Machine Learning Interview Questions to Land the Perfect Data Science Job

Smart Data Collective

The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. It is also one of the most relevant tools in every industry this year, according to the “Technology Radar 2018” prepared by the engineering company BBVA Next Technologies, of BBVA. That could be a wise career move.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Top Solutions for Cybersecurity Regulatory Compliance

Smart Data Collective

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. GDPR – While enacted by the European Union in 2018, the General Data Protection Regulation applies to any organization that targets European markets. Choose Hardware and Software Wisely.

article thumbnail

Predictive analytics vs. AI: Why the difference matters in 2023?

Data Science Dojo

However, with the introduction of Deep Learning in 2018, predictive analytics in engineering underwent a transformative revolution. Technologies like Internet of Things (IoT) devices in warehouses offer real-time alerts for low inventory levels, allowing for proactive restocking.

article thumbnail

5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Internet of Things. In this digital age, people rely more on the internet to find and share information. Internet of Things is a critical tool for businesses. The number of IoT devices is projected to skyrocket from 10 billion to 64 billion between 2018 and 2025. AI has made it even more viable than ever.

article thumbnail

10 edge computing innovators to keep an eye on in 2023

Dataconomy

The realm of edge computing has witnessed a substantial surge in recent years, propelled by the proliferation of remote work, the Internet of Things (IoT), and augmented/virtual reality (AR/VR) technologies, which have necessitated connectivity at the network’s periphery and novel applications.

article thumbnail

5G use cases that are transforming the world

IBM Journey to AI blog

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

ML 106