by Angela Guess According to a new press release, ?Nova, a leading innovator and a key provider of metrology solutions for advanced process control used in semiconductor manufacturing, today launched its NOVAFit? engine, which enhances traditional modelling capabilities with advanced machine learning algorithms. The new software improves metrology capabilities and accelerates time to solution in [?]
by Angela Guess A new press release states, ?A new report from Navigant Research examines use cases for machine learning in the utilities industry, detailing its advantages over other analytics techniques, and providing future requirements and recommendations. Machine learning is rapidly moving into the mainstream and is high on the agenda of many utilities. While [?]
AI and Machine Learning were two of 2017?s hottest technological buzzwords. It?s not difficult to understand why: the potential benefits of these technologies are exciting and profound. But artificial intelligence and machine learning both rely on other foundational technologies in order to achieve the results that they promise. Consequently,... Read more »
by Angela Guess According to a recent press release, ?Veritone®, Inc., a leading provider of artificial intelligence (AI) and cognitive solutions, today announced it has acquired the advanced data analytics software and related intellectual property (IP) assets of Atigeo Corporation. The acquisition includes a cooperative distributed inferencing system ? based on Hamiltonian models and other [?]
People are constantly coming up with new and intelligent ways to use the Cloud. As a consequence, Cloud Architecture designs and developments are constantly being tweaked, adjusted, and improved upon. Today?s businesses need to be flexible, move quickly, and understand their customer?s desires and expectations. To do this, businesses are relying on the Cloud to [?]
by Angela Guess A recent press release states, ?Deloitte forecasts double digital growth in machine learning deployments for the enterprise, an increasing worldwide appetite for digital subscriptions among consumers, and ongoing smartphone dominance ? along with eight additional predictions ? as part of the 17th edition of the ?Technology, Media & Telecommunications Predictions.? Among the [?]
I read David Linthicum?s post ?Data integration is the one thing the cloud makes worse? with great interest. A huge reason that I decided my next job would be for a search company was because of this very problem. (That?s why I now work for LucidWorks, which produces Solr- and Spark-based search tools.) While working with clients, I realized that with big data and the cloud a tough problem, finding things was becoming worse. I had seen the upcoming meltdown as the use of Hadoop formed yet another data silo and as a result produced few actual insights.
The recent AWS re:Invent conference in Las Vegas was all about the cloud, but another hot technology also played a leading role: the Internet of Things. In multiple keynotes, top Amazon Web Services (AWS) executives, including CEO Andy Jassy and CTO Werner Vogels, went out of their way to extol the virtues of IoT. The company also used the occasion to announce a slew of new IoT-related products.
Modern ethos is that all data is valuable, should be stored forever, and that machine learning will one day magically find the value of it. You?ve probably seen that EMC picture about how there will be 44 zettabytes of data by 2020? Remember how everyone had Fitbits and Jawbone Ups for about a minute? Now Jawbone is out of business. Have you considered this ?all data is valuable? fad might be the corporate equivalent? Maybe we shouldn?t take a data storage company?s word on it that we should store all data and never delete anything.
by Angela Guess According to a recent press release, ?Alteryx, Inc., a leader in self-service data analytics, today announced that customers can take advantage of one-click, self-service predictive model deployment capabilities of the Alteryx solution on Amazon Web Services (AWS). Alteryx has also achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. The designation [?]
by Angela Guess A recent press release states, ?Today at AWS Re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company, announced five new machine learning services and a deep learning-enabled wireless video camera for developers. Amazon SageMaker is a fully managed service for developers and data scientists to quickly build, train, deploy, and manage their [?]
The reality of a self-managing data center is getting closer with HPE?s announcement last week of what it claims to be the first artificial intelligence (AI) predictive engine for trouble in the data center.
by Angela Guess According to a new press release, ?Today, Amazon Web Services, Inc. (AWS), an Amazon.com company, announced that Intuit Inc. selected AWS as its standard for machine learning and artificial intelligence workloads. With more than 150 patents pending and 40 artificial intelligence and machine learning features within its products today, Intuit expanded its [?]
by Angela Guess According to a recent press release, ?Amazon Web Services, Inc., an Amazon.com company, announced the Amazon ML Solutions Lab, a new program that connects machine learning experts from across Amazon with AWS customers to help identify practical uses of machine learning inside customers? businesses, and guide them in developing new machine learning-enabled [?]
by Angela Guess A recent press release states, ?Sentenai, an emerging sensor data technology company, today announced the availability of its flagship product, the Sentenai Sensor Data Cloud. By going beyond the initial harnessing of machine-based data and understanding the information that data provides, organizations can streamline their operational processes and develop predictive maintenance solutions [?]
It can be hard to pin down a definition of edge computing. Some companies look at it in terms of networks, others in terms of datacenters. For Microsoft, it?s a distributed cloud that encompasses every computer, no matter how small and how limited.
TensorFlow has emerged as one of the leading machine learning libraries, and when combined with an operational database, it provides the foundation for quickly building sophisticated machine learning workflows.
Machine Learning (ML) ??explores the construction and study of learning algorithms.? (DAMA DMBOK). Furthermore, Machine Learning: ??is about building programs with adaptable parameters that automatically adjust based on the data the programs receive. By adapting to previously seen data, the programs are able to improve their behavior. They also generalize data, meaning that the programs [?]
Are we at the tipping point with cloud computing? As more technology comes out on public clouds, cloud technology seems to be pushing the limits of innovation. It?s still an emerging approach, yet the degree of innovation in the public cloud seems to have surpassed the innovation of technologies that remain on premises.
Currently, Artificial Intelligence (AI) and Machine Learning are being used, not only as personal assistants for internet activities, but also to answer phones, drive vehicles, provide insights through Predictive and Prescriptive Analytics, and so much more. Artificial Intelligence can be broken down into two categories: Strong (also known as General or Broad) AI and Weak [?]