article thumbnail

The Next Wave of Digital Transformation: What Leaders Need to Know

N2Growth Blog

Key technologies in this digital landscape include artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), blockchain, and augmented and virtual reality (AR/VR), among others. Strategic planning for future digital advancements requires a long-term vision, flexibility, and a readiness to adapt.

article thumbnail

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Latest CTOvision Assessments on Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things and Cybersecurity

CTOvision

This approach enables a degree of certainty supportive of most strategic planning efforts, even if it does not provide precision around timing or exact manifestation of solutions. This allows us to make predictions with a bit more certainty than trying to predict which product or solution or company will dominate.

article thumbnail

How Digital Transformation Can Help Your Business Grow?

OTS Solutions

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc.

article thumbnail

Top LinkedIn Groups in 2014 for Analytics, Big Data, Data Mining, and Data Science

CTOvision

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Big Data and Analytics: 74,350 (100%).

Big Data 103
article thumbnail

Updating CTOvision Assessments on Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things and Cybersecurity

CTOvision

Megatrends do not change fast, and the predictions we make there can be made with a degree of certainty supportive of most strategic planning efforts. We try to find balance in tracking the future of technology by focusing on the metatrends, those very powerful forces that sweep over us all (whether we want them to or not).

article thumbnail

Altexsoft - Untitled Article

Altexsoft

Data Science vs Machine Learning vs AI vs Deep Learning vs Data Mining: Know the Differences. As data becomes the driving force of the modern world, pretty much everyone has stumbled upon such terms as data science, machine learning, artificial intelligence, deep learning, and data mining at some point.