Welcome!

Machine Learning Authors: Yeshim Deniz, Liz McMillan, Pat Romanski, Elizabeth White, Zakia Bouachraoui

Blog Feed Post

AlertSite Demonstration of New Perceived User Experience Metrics

In my previous post, How Fast is Your Website, Really? Learning More from AlertSite, I shared with you the three sides of the prism for understanding website speed as it relates to Web performance...

Read the original blog entry...

More Stories By Alex Forbes

Alex Forbes is a B2B software marketing leader with experience in analyst relations, content marketing and product marketing. He follows the IoT, rapid application development, and cloud markets to help customers improve their digital transformation initiatives, customers' buyer journeys and experience from both an IT and business perspective.

CloudEXPO Stories
David Friend is the co-founder and CEO of Wasabi, the hot cloud storage company that delivers fast, low-cost, and reliable cloud storage. Prior to Wasabi, David co-founded Carbonite, one of the world's leading cloud backup companies. A successful tech entrepreneur for more than 30 years, David got his start at ARP Instruments, a manufacturer of synthesizers for rock bands, where he worked with leading musicians of the day like Stevie Wonder, Pete Townsend of The Who, and Led Zeppelin. David has also co-founded five other companies including Computer Pictures Corporation - an early player in computer graphics, Pilot Software - a company that pioneered multidimensional databases for crunching large amounts of customer data for major retail companies, Faxnet - which became the world's largest provider of fax-to-email services, as well as Sonexis - a VoIP conferencing company.
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team's apps not only function but also can be monitored and understood from their machine data when running in production.
With the mainstreaming of IoT, connected devices, and sensors, data is being generated at a phenomenal rate, particularly at the edge of the network. IDC's FutureScape for IoT report found that by 2019, 40% of IoT data will be stored, processed, analyzed and acted upon at the edge of the network where it is created. Why at the edge? Turns out that sensor data, in most cases, is perishable. Its value is realized within a narrow window after its creation. Further, analytics at the edge provides other benefits.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by FTC, CUI/DFARS, EU-GDPR and the underlying National Cybersecurity Framework suggest the need for a ground-up re-thinking of security strategies and compliance actions. This session offers actionable advice based on case studies to demonstrate the impact of security and privacy attributes for the cloud-backed IoT and AI ecosystem.
Enterprises that want to take advantage of the Digital Economy are faced with the challenge of addressing the demands of multi speed IT and omni channel enablement. They are often burdened with applications that are complex, brittle monoliths. This is usually coupled with the need to remediate an existing services layer that is not well constructed with inadequate governance and management. These enterprises need to face tremendous disruption as they get re-defined and re-invented to meet the demands of the Digital Economy. The use of a microservices approach exposed through APIs can be the solution these enterprises need to enable them to meet the increased business demands to quickly add new functionality.