Formula Cloud: Smart Analytics and Modern End-User Computing are Driving Secure and Scalable Apps
At the same time, institutions are leveraging cloud technology solutions to help them bridge from isolated data to generate rich customer recommendations.
In a new episode of "Formula Cloud", Google enables remote workers, AWS launches MSK and Textract, Alibaba goes global and releases a host of new solutions, while Microsoft's Azure cloud helps scientists wrangle behemothic blobs of data.
The times where all employees have to commute to a monolithic central corporate headquarters are over. Today is the era of the cloud-based mobile worker.
Enabling your workforce to get work done from anywhere increases productivity, improves collaboration, and strengthens employee engagement. But it also can create security and compliance challenges.
Check out a new episode of "Formula Cloud" on YouTube (https://youtu.be/
At least that's the vision, according to Google Cloud. The company's ecosystem of end-user computing products is built on Google Cloud Platform, which delivers a foundation that prioritizes security by default, leverages purpose-built infrastructure, and offers powerful proprietary security controls.
"GCP allows users to integrate an extensive ecosystem of partner tools, and provides validation against some of the most rigorous global security standards such as the ISO 27000 series" says Google. "In addition to this infrastructure foundation, our multilayered approach to end-user computing embeds security at the application, user, and device layers."
Meanwhile, The Football Association of England is headed to the Cloud. It has chosen Google as its official cloud and data analytics partner for the England Teams and St George's Park, which is their centre of technology excellence.
"The first step in the transformation has been to put G Suite at the heart of everything, shifting from working in silos to fostering collaboration between coaches of all teams" said Google.
In other news, AWS has released MSK, a fully managed service for Apache Kafka that lets developers to build and run highly available, secure, and scalable applications based on Apache Kafka without having to worry about managing the underlying infrastructure.
MSK is fully compatible with Apache Kafka, enabling customers to easily migrate their on-premises or Elastic Cloud Compute clusters to MSK with no code changes. There are no commitments or upfront investment required to run Amazon MSK, and customers only pay for the capacity they use.
"Customers who are running Apache Kafka have told us they want to spend less time managing infrastructure and more time building applications based on real-time streaming data" said Rajesh Sheth, GM at AWS.
The company has also released Textract, a fully managed service that uses machine learning to automatically extract text and data, including from tables and forms, in virtually any document without the need for manual review, custom code, or machine learning experience.
"The power of Textract is that it accurately extracts text and structured data from virtually any document with no machine learning experience required" said company VP, Swami Sivasubramanian. "So developers can analyze and query the extracted text and data using our database and analytics services like Elasticsearch Service, DynamoDB, and Athena and integrate with other machine learning services like Comprehend, Comprehend Medical, Translate, and SageMaker to help customers derive deeper meaning from the extracted text and data."
Alibaba Cloud is the largest public cloud provider in Asia Pacific but its goal is to compete globally. To meet those aspirations, the company has introduced several new solutions that will be available outside of China for the first time.
The new tools include:
• PolarDB: MySQL and PostgreSQ –compatible relational databases.
• Alibaba Log Service: Allows customers to automatically collect logs from services, applications and platforms.
• Support of "Bring Your Own Key": Encryption controls on both hardware and software, protecting customers' data in transit and at rest.
• SaaS Accelerator:
• Smart Access Gateway Software: Allows endpoint devices such as cell phones, POS and laptops to securely get connected with Alibaba Cloud and on-premises data centers with one click.
• Container Registry (ACR) Enterprise Edition: Lets developers store, manage, and deploy container images.
• Container Service for Kubernetes: Helps users focus on their applications rather than managing container infrastructure.
Meanwhile, analyzing large data sets to make scientific discoveries is a race against time. Using machine learning to analyze a combination of clinical and genomics data can provide critical insights, but doing so with a traditional computing infrastructure can require significant processing time.
So UCLA Health plans to deploy Microsoft cloud computing services to enable it to synthesize vast amounts of clinical and research data to speed medical discoveries and improve patient care.
"We are committed to creating better patient outcomes by providing UCLA Health with Microsoft Azure cloud and artificial intelligence solutions to improve treatments and lives," said Peter Lee, VP at Microsoft Healthcare. "By connecting health data and systems in the cloud in an interoperable way, we're excited we can help advance health care data for more efficient and personalized care."
"Formula Cloud" is produced by TVP, and sponsored by RestonLogic, cloud wizards leveraging over 10 years experience helping companies automate, transform and build highly-secure and stable systems. Click over to RestonLogic dot com to book a strategy session today.
Disclaimer: The blurbs highlighted on "Formula Cloud" are available for information purposes only, and don't necessarily reflect opinions of our editors.
Page Updated Last on: Jun 30, 2019