Tag: machine learning

TensorFlow 2.0 is ready for prime time

The latest version of the software brings better APIs, more intuitive Python programming by Max Smolaks 8 October 2019

Practical Machine Learning with Python and Keras

by Daniel Pyrathon, Kite 2 October 2019 Table of Contents What is machine learning,...

A small world: consolidating data management with supervised and unsupervised learning

by Jelani Harper 26 September 2019 Most organizations are aware that diverse Artificial Intelligence technologies are impacting almost every...

Why the AI story needs to be told from end to...

by Kye Andersson, Peltarion 18 September 2019 It is an unfortunate truth that most people around...

Use AI to transform your search

Lots of search engines don’t consider some crucial elements while providing suggestions - the context of the information being searched, relevance ranking...

Neural networks can disempower human workers

The case for human intervention amidst rapid AI adoption by Ben Taylor, Rainbird 22 August 2019

Alegion secures $12 million to improve machines that train machines

Data quality remains one of the biggest challenges facing AI projects by Max Smolaks 14 August 2019

Simply NUC launches an AI lab that fits in the palm...

Three types of processors in a small package by Max Smolaks 13 August 2019 Miniature computing...

How can banks get started with machine learning?

Here is Ian Foley's, CEO of acuteIQ, exclusive article for AI Business in which he outlines how banks can get started with machine learning.

Incorporating Machine Learning into a Successful Data Strategy

by Jelani Harper The foundation of any data-driven initiative should always be a...

Five Ways AI Is Changing Customer Service Today

by Omer Khan NEW YORK - Customer service is a massive industry that has...

2019 Trends in Machine Learning: Unclogging the Bottleneck

by Jelani Harper The application of the 80/20 rule to the time required to engineer data for analytics versus that spent leveraging analytics results has...

Machine Learning: Is There Space At The Edge?

by Jack Melling Machine learning (ML) is playing an increasingly prominent role in our everyday lives and how we interact with our devices. One of the key...

Five Questions To Ask About Your Machine Learning Data

by Mark Brayan Across industries, there has been an explosion of AI applications, and a corresponding demand for machine learning-based solutions. As we ask computers...

AI for Enhanced Creativity Delivers Business Results

AI and machine learning are revolutionising the creative process and are enabling businesses to deliver more impactful, engaging experiences that deliver higher conversion and...

Where AI Is Going – And How You Can Get There

by Kyle York  It won't be long before the world sees machine learning (ML) and artificial intelligence (AI) powering business-critical endeavors such as cloud infrastructure...

Deploying Machine Learning Pipelines for Enterprise Use Cases

by Nick Chang Without a doubt, AI is already embedded in our daily lives. Streaming services like Netflix learn our viewing behaviors and patterns to...

2019 Trends in Data Science: Innovation and Acceleration

By Jelani Harper Two antipodal motions will impact data science in 2019, as intrinsically related to each other as they are oppositional. The first is...

Lenovo: AI Will Change The Meaning Of Competitive Advantage

SAN FRANCISCO - The artificial intelligence revolution is poised to fundamentally change the way organizations use data to solve everyday business problems. However, many...

Automating Fax Orders Through Leveraging OCR, Deep Learning, & Machine Learning

By Gaurav Goyal and Dharmesh Panchmatia Companies are aiming for the moon with AI, but to really make a success of the technology for businesses, decisionmakers...

Transforming The Enterprise With MLOps

SAN FRANCISCO - Incorporating AI technologies into existing business processes is no small task. While technical solutions continue to proliferate, promising better customer interactions,...

Upping the Ante: Transmuting Machine Learning into Verifiable Knowledge

By Jelani Harper Machine learning is arguably at the forefront of contemporary artificial intelligence technologies; many widely (if not mistakenly) consider the two terms synonymous....

The Lesser Known Application of Machine Intelligence: Smart Availability

By Jelani Harper Of all the facets of enterprise IT impacted by the growing trend towards machine intelligence, those pertaining to network availability could well...

Idealizing Big Data Logistics for Machine Learning Models

By Jelani Harper Operationalizing machine learning for a specific business purpose has traditionally been an exacting process. Data scientists were tasked with procuring representative data...

Transcending the Limits of Analytics with Artificial Intelligence

By Jelani Harper According to Jack Norris, Senior Vice President of Data and Applications at MapR, the entire history of analytics has been plagued by a...

Microsoft Opens Up AI Training Courses To The Public

REDMOND, WA - Anybody with an interest in cultivating AI and machine learning skills will soon be able to access them, thanks to the...

Quantum Computers To Supercharge AI, Says IBM’s VP of AI and...

SAN FRANCISCO, CA - Quantum computers are set to have a significant impact on the acceleration of AI capabilities, Dario Gil, IBM VP of AI...

Edge ML Processing Will Soon Bring AI To Every Device

SAN FRANCISCO, CA - A new machine learning processor promising 'ultimate scalability' will soon deliver AI capabilities to a huge range of edge devices. On Tuesday,...

Why MLOps (and not just ML) Is Your Business’ New Competitive...

By Nisha Talagala, Co-Founder and CTO / VP of Engineering at ParallelM  From advertising to IoT, healthcare, and beyond, virtually all industries are adopting or...

It’s time to unlock dark data

Dr. Daniel Tapias is Founder and CEO of Sigma Technologies Global. Sigma was founded in 2008 and is headquartered in San Francisco, with a...

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