In this special guest feature, William Skelly, CEO, Causeway Solutions, provides a list of some of the modern customer acquisition technologies and techniques. You’ve probably heard the often-repeated business adage, “It is six to seven times more expensive to acquire a new customer than it is to keep a current one.” However, with the latest advancements in AI, machine learning and customer analytics, acquiring new clients can be much more strategic, streamlined, and cost-effective.
Search Results for: machine learning
eBook: The Machine Learning Infrastructure Blueprint
Our friends over at cnvrg.io have released a new eBook, “The Machine Learning Infrastructure Blueprint,” answering common questions most machine learning teams are asking about best practices for building a scalable machine learning infrastructure.
AutoML- The Future of Machine Learning
In this contributed article, Ankush Gupta and Kavya Shree of FischerJordan, explore the scope, use cases and challenges of AutoML and how data scientists and AutoML can have a future together. The authors discuss the causes driving the use of AutoML, the benefits and challenges associated, and major providers in the space. They conclude by analyzing the parts of the data science and ML process that can/cannot be automated and if AutoML will replace data scientists / both will go hand-in-hand.
5 Benefits Of Machine Learning For Manufacturers
In this special guest feature, Eric Whitley, Director of Smart Manufacturing at L2L, believes that machine learning is so powerful precisely because it grows machine knowledge in a continuous feedback loop and becomes exponentially smarter. But what can it do for your business? This article will provide insights into the five benefits of machine learning for manufacturers.
2023 Trends in Artificial Intelligence and Machine Learning: Generative AI Unfolds
In this contributed article, editorial consultant Jelani Harper offers his perspectives around 2023 trends for the boundless potential of generative Artificial Intelligence—the variety of predominantly advanced machine learning that analyzes content to produce strikingly similar new content.
Machine Learning Career Path: Exploring Opportunities in 2022 and Beyond
In this special guest feature, George Tsagas, Owner of eMathZone, discusses how machine learning professionals can work as data scientists, computer engineers, robotics engineers, or managers. But if you want to make a career, the first step in finding opportunities in the field of machine learning is to understand the different types of jobs and skills needed.
Comet Introduces Kangas, An Open Source Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning
Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way.
How Conversation Design is Using Machine Learning to Make Robots More Helpful
In this special guest feature, Dmitry Gritsenko, CEO of the Master of Code Global, suggests that as interest in the commercial use of conversation design continues to rise, it’s a great time to look at the technologies that are making all of this possible as well as its impact on users today and in the future.
The Move Toward Green Machine Learning
A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture, upgrading hardware, and using efficient data centers.
ClearML and Genesis Cloud Announce New MLOps Partnership Delivering 100% Green Energy Compute Solution for Machine Learning
ClearML, the frictionless, unified, end-to-end MLOps platform, and Genesis Cloud, a leader in green GPU cloud computing, announced a new partnership. The agreement will make Genesis Cloud’s 100% green energy Compute Instance available as part of ClearML’s powerful MLOps platform. With computing accounting for nearly 4% of global emissions in 2021 – and with that number likely set […]