Artificial Intelligence

Tens of Thousands of Customers Flocking to AWS for Machine Learning Services

Grazed from Amazon AWS

Today, Amazon Web Services, Inc. (AWS) shared that tens of thousands of customers are using AWS machine learning services, with active users increasing more than 250 percent in the last year, spurred by the broad adoption of Amazon SageMaker since AWS re: Invent 2017. Amazon SageMaker is a fully managed service that removes the heavy lifting, complexity, and guesswork from each step of the machine learning process, empowering everyday developers and scientists to use machine learning much more expansively and successfully. AWS has meaningfully more reference customers for machine learning than any other provider, and much of it has to do with AWS's unmatched array of services that enable a full stack machine learning experience. With AWS machine learning services, customers are building a wide variety of intelligent applications and solutions with the help of AWS's P2 and P3 graphical processing unit (GPU) instances, deep learning Amazon Machine Images (AMIs) that embed all the major frameworks, Amazon SageMaker, AWS DeepLens-a device that has helped thousands of customers gain hands on experience with machine learning, and services at the top layer of the stack such as Amazon Rekognition, Amazon Polly, Amazon Lex, and Amazon Comprehend.

Today, AWS also announced the general availability of two new machine learning services, which are part of AWS's machine learning portfolio, Amazon Transcribe and Amazon Translate. Amazon Transcribe provides grammatically correct transcriptions of audio files to allow audio data to be analyzed, indexed, and searched. Amazon Translate is a deep learning powered machine translation service that provides natural sounding language translation in both real-time and batch scenarios. These services further extend the language capabilities already provided on AWS with Amazon Lex for conversational interfaces, Amazon Polly for Text-to-Speech, and Amazon Comprehend for processing natural language to discover insights and contextual relationships in text.

How To Use Technology As A Marketing Tool

As a business owner, when you think of technology you probably imagine the computer systems, equipment and machinery that form the infrastructure of your company, and possibly the products or services you deal in, depending on your market. Technological changes happen at an ever-increasing pace, and it can be hard enough to keep up with those product and infrastructure developments, let alone anything else. Savvy business owners know that making use of technology can extend into marketing as well, so if you aren't already using tech to promote your business, get ahead of your competitors and make use of the tools that are available to get your business noticed.

Apps

There's an app for everything it seems, with more being added and developed constantly. It's highly likely that there is an app around that would be very helpful to you if you only knew it existed. If you already have an idea for what would help your business, you can have a look online and see if there are apps that can do what you're looking for. If you haven't got any ideas yourself, don't assume that there isn't anything - there are many innovative and original apps available for all types of consumer. Have a browse for apps that are relevant to your industry or niche and see what you can find. You can also look in industry publications, where apps are frequently reviewed and advertised. Say you have just opened a new Italian Restaurant in a busy city center. Competition is fierce, but by looking at what apps are relevant to your industry, you could make use of restaurant marketing and mobile apps that can give you an advantage over your rivals. If the app you want doesn't seem to exist, you can always create one yourself, or use a freelance designer to create one for you. If it catches on, you may find you have an additional revenue stream as well as a useful app. You can also use apps as an advertising platform, where you pay to have your business featured on the app of your choice, helping you to reach more potential customers.

Gradient Launches To Fuel Next Generation Of Cloud AI

Grazed from Paperspace

Paperspace, a leading provider of AI cloud computing, today announced the launch of Gradient to put the power of artificial intelligence into the hands of every developer. With Gradient, AI and machine learning developers of all levels can tap into a dedicated cloud of AI solutions for building, training and deploying machine learning applications.

"There's no denying that AI is the future of every industry, but today's complex cloud ecosystem coupled with a massive skills gap are threatening innovation," said Daniel Kobran, co-founder of Paperspace. "You shouldn't need decades of experience to build intelligent applications. We designed Gradient to remove infrastructure bottlenecks so that any developer can build a production-ready cloud AI pipeline."

Gradient is a suite of enterprise-ready tools that makes developing cloud AI as simple as building a modern web service. Featuring one-click Jupyter notebooks, a powerful GPU job runner and a new integration that lets you add 1-line of code to run any code on a full GPU cloud, Gradient works to turn raw infrastructure into the building blocks for intelligent applications. The mission behind Gradient is to accelerate the development of new machine learning products and services across a host of industry verticals.

Alibaba Cloud Launches Malaysia City Brain to Enhance City Management

Grazed from Alibaba

Alibaba Cloud, the cloud computing arm of Alibaba Group, today announced the launch of its Malaysia City Brain initiative in collaboration with the Malaysia Digital Economy Corporation (MDEC), the country's digital economy development agency, and Dewan Bandaraya Kuala Lumpur (DBKL), the city council in the capital, at a ceremony in Kuala Lumpur.

The Malaysia City Brain initiative is a significant milestone because it's the first time for the City Brain solution to be adopted overseas. It is developed on Alibaba Cloud's robust cloud computing infrastructure and will support Malaysia's digital transformation with cloud technology and artificial intelligence.

Powered by Alibaba Cloud's large-scale computing engine Apsara, Malaysia City Brain offers a comprehensive suite of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces through video and image recognition, data mining and machine learning technology. The power and functionality of the City Brain will enable Malaysian urban planners and city officials to upgrade their city governance and decision-making to turn the city into an intelligent one.

Meituan.com Selects Mellanox Interconnect Solutions to Accelerate its Artificial Intelligence, Big Data and Cloud Data Centers

Grazed from Mellanox Technologies

Mellanox Technologies, Ltd. (NASDAQ: MLNX), a leading supplier of high-performance, end-to-end smart interconnect solutions for data center servers and storage systems, today announced that Meituan.com has selected Mellanox Spectrum™ Ethernet switches, ConnectX® adapters and LinkX™ cables to accelerate its multi-thousand servers for their artificial intelligence, big data analytics and cloud data centers. Meituan.com is the world’s leading online and on-demand delivery platform, supporting 280 million mobile users and 5 million merchants across 2,180 cities in China, and processing up to 21 million orders a day during peak times. Utilizing Mellanox 25 Gigabit and 100 Gigabit smart interconnect solutions and RDMA technology, Meituan.com can better analyze and match user needs to merchant online offers, faster and more accurately, while lowering data center operational costs.
 

Instana Adds AI-Powered Analysis For AWS Products

Grazed from Instana

As part of their presence at AWS re:Invent 2017 next week, Instana today announced the ability for its Artificial Intelligence (AI)-driven application performance management (APM) solution to discover, analyze and monitor Amazon Web Services (AWS). By applying AI-powered analysis, Instana provides customers with comprehensive visibility and performance management across their hybrid application environment, including legacy, containerized and cloud-native services from a single monitoring solution.

Instana’s extended visibility into hybrid application environments includes CloudWatch data, providing contextual intelligence and performance management beyond the isolated CloudWatch dashboard. This improved capability encompasses traditional and modern dynamic applications providing a full stack view as one contiguous environment with the ability to drill down and investigate details in any of the underlying services and infrastructure.

As Instana extends its understanding into the AWS products, it provides:

Databricks Becomes Microsoft Partner to Offer Its Unified Analytics Platform as an Integrated Microsoft Azure Service

Grazed from Databricks

Databricks, provider of a leading Unified Analytics Platform and founded by the team who created Apache Spark, today announced it has become a partner with Microsoft to expand the reach of its Unified Analytics Platform and address customer demand for Spark on Microsoft Azure. Databricks' Unified Analytics Platform will be offered as an integrated service within the Azure Portal as Azure Databricks. The new Azure service, introduced today at the Microsoft Connect 2017 conference, makes it easier for organizations around the globe to derive value from their Big Data and realize the promise of Artificial Intelligence (AI).

"Our alliance with Microsoft is a major milestone for the growth of Databricks' Unified Analytics Platform," said Ali Ghodsi, cofounder and CEO at Databricks. "There's a large base of Microsoft Azure customers looking for a high-performance analytics platform based on Spark - and Databricks is already the leading Cloud platform for Spark. These organizations will be able to simplify Big Data and AI with Azure Databricks."

John ‘JG' Chirapurath, general manager of Data Platform Marketing, Microsoft Corp. said, "Our work with Databricks and the development of Microsoft Azure Databricks has been driven by customer demand. Azure users will benefit from the fast and collaborative Apache Spark based analytics platform optimized for Azure, and through the integration with other Azure services, such as Microsoft Power BI, Azure SQL Data Warehouse, Azure Cosmos DB, and Azure Active Directory."

Cray supercomputing comes to Microsoft Azure to boost AI workloads in the cloud

Grazed from TechRepublic.  Author: Conner Forrest

A new alliance between Cray and Microsoft will bring Cray's supercomputing capabilities to Microsoft's Azure cloud, in an effort to help businesses more easily scale workloads for artificial intelligence (AI), analytics, modeling, and more, according to a Monday press release.

The partnership will enable new capabilities for businesses in the cloud, but it will also help broaden the reach of Cray's capabilities, the release said. Customers who may have previously been unable to access an on-premise Cray system will now have an option to engage its features in the cloud.

"By working with Cray to provide dedicated supercomputers in Azure, we are offering customers uncompromising performance and scalability that enables a host of new previously unimaginable scenarios in the public cloud," Microsoft Azure corporate vice president Jason Zander said in the release. "More importantly, we're moving customers into a new era by empowering them to use HPC and AI to drive breakthrough advances in science, engineering and health."
 

McAfee Integrates Advanced Analytics to Increase Security Operations Center Efficiency and Protect Endpoints and Cloud

Grazed from McAfee

McAfee, one of the world's leading cybersecurity companies, today announced new endpoint and cloud solutions that go beyond machine learning to take advantage of the speed and accuracy of advanced analytics, deep learning and artificial intelligence, and increase efficiency of security operations. Cyber threats and the data needed to defend against them continue to increase, overwhelming security teams and driving the need for open, efficient security operations. McAfee's new solutions make use of the automation, reasoning and data curation uniquely provided by advanced analytics technologies, allowing security teams to easily discover and assess data and root out threats. Through human-machine teaming and an open and interoperable cybersecurity platform, McAfee proves ‘Together is power,' with collaborative security that defends against shared adversaries.

"Security teams are increasingly overwhelmed by the complexity they face in their environments which hinders their ability to defend against the growing number of threats," said Chris Young, CEO of McAfee. "McAfee is acting on our ‘Together is power' principle with collaborative security that combines the unique advantages of people, machines and partners enabling teams to be situationally aware of security events and take swift action to thwart assaults, from the endpoint to the cloud."

Beer, Bots and Broadcasts: Companies Start Using AI in the Cloud

Grazed from Bloomberg Technology. Author: Dina Bass and Mark Bergen.

Back in October, Deschutes Brewery Inc.’s Brian Faivre was fermenting a batch of Obsidian Stout in a massive tank. Something was amiss; the beer wasn’t fermenting at the usual temperature. Luckily, a software system triggered a warning and he fixed the problem.

"We would have had to dump an entire batch," the brewmaster said. When beer is your bottom line, that's a calamity.