Tag: projects

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Machine Learning

Why Machine Learning Projects Fail – and How to Make Sure They Don’t

Source – https://www.eweek.com/ he hype about machine learning (ML) is warranted. Machine learning is not just making things easier for the companies that are taking advantage of it. It’s also changing the way they do business. For example, machine learning is: Being used by financial institutions to quickly detect fraudulent activity Enabling healthcare practitioners to Read More

Data Science

Why So Many Data Science Projects Fail to Deliver

Source – https://sloanreview.mit.edu/ Organizations can gain more business value from advanced analytics by recognizing and overcoming five common obstacles. More and more companies are embracing data science as a function and a capability. But many of them have not been able to consistently derive business value from their investments in big data, artificial intelligence, and Read More

Data Science

Iguazio Data Science Platform Simplifies AI App Projects; Adds Integrated Feature Store

Source – https://www.idevnews.com/ Iguazio is adding a production-ready feature store to its data science platform.  It will allow users to more quickly and easily develop, deploy and manage AI apps, according to execs. Iguazio is adding a production-ready feature store to its data science platform. The offering aims to bring off-the-shelf technology to the growing area Read More

Artificial Intelligence

Why artificial intelligence projects fail

Source: dqindia.com Seventy percent of companies have reported minimal or no impact from Artificial Intelligence projects, according to a survey by MIT and Boston Consulting Group. There are a number of reasons for this including a lack of focus on cultural change and training within an organisation as it adapts to new working practices, but the Read More

mechatronics

Mechatronics projects mesh creativity with engineering

Source: mdjonline.com Where is the fun in a pinball machine that can play itself? How about pancakes that can cook themselves? For students in Kennesaw State University’s Department of Mechatronic Engineering, the intrigue is less about the act and more about what goes on behind the scenes to make it possible. From a fully automated Read More

Data Science

WHY MAJORITY OF DATA SCIENCE PROJECTS NEVER MAKE IT TO PRODUCTION

Source: analyticsindiamag.com Today most large companies are looking at the potential of AI/ML, and despite significant investments, hiring data scientists and investing time and money, data science fails to take things to the next level. One of the biggest challenges present in AI/ML is that a large majority of models are not deployed in production. Read More

Google AI

Google backs six artificial intelligence-based research projects – Details

Source: financialexpress.com Artificial Intelligence (AI) is opening up the next phase of technological advances. Riding the AI wave, Google has started six AI-based research projects in India. These projects would focus on addressing social, humanitarian and environmental challenges in sectors such as healthcare, education, disaster prevention and conversation. Google Research India, based in Bengaluru, will Read More

Machine Learning

Selecting and Preparing Data for Machine Learning Projects

Source: channels.theinnovationenterprise.com Data is the foundation of any machine learning model. Indeed, there are similarities between the data required for machine learning and any other data-centric project. In all kinds of projects, senior executives need to undertake proper levels of diligence to ensure that the data is reliable, consistent, and comprehensive. However, some data concerns Read More

Microservices

Microsoft launches new open-source projects around Kubernetes and microservices

Source: techcrunch.com Microsoft  today announced two new open-source projects: Dapr, a portable, event-driven runtime that takes some of the complexity out of building microservices, and the Open Application Model (OAM), a specification that allows developers to define the resources their applications need to run on Kubernetes clusters and which Microsoft developed in cooperation with Alibaba Cloud. As Read More

Data Science

WHAT IS THE REAL DIFFERENCE BETWEEN DATA SCIENCE AND SOFTWARE ENGINEERING TEAMS?

Source:- dataconomy.com Why Understanding the Key Differences Between Data Science  and Software Development Matters As Data Science  becomes a critical value driver for organizations of all sizes, business leaders who depend on both Data Science  and Software Development teams need to know how the two differ and how they should work together. Although there are lots Read More