Are We Connected for IoT?

What does it mean to be connected? Is it your Smartphone in your hand? An augmented reality helmet on your head? Or the wireless sensors that surround us everywhere we go? We now have multiple ways to be plugged into both the physical and virtual worlds. But would it surprise you to know that today’s businesses that bring you the Internet of Things (IoT) technologies and those connected products, could be more connected to you as a consumer? Or to the IoT and digital supply chain partners that enable them to develop and distribute those connected devices on a worldwide basis?

How Data Orchestration/Provenance Can Power Your Data Value Chain

Data from multiple sources and various associated data services/applications all need to come together in real-time. As a result of orchestration, data policies and service levels can be better defined through automated workflows, provisioning, and change management. Critical data management processes can also be automated, including data creation, cleansing, enrichment and propagation across systems.

How to Deploy Data Exchanges and Integration for Data Monetization

Now that companies are getting a better handle on extracting value from mountains of customer data for their own business operations and marketing purposes, they are taking the next steps in learning how to capitalize on that very same data as a resalable asset. According to Accenture, “…payment providers have a treasure trove of customer data at their fingertips,” and to monetize that data will require that they take “advantage of distinctive data sets and apply advanced analytics techniques” from multiple sources.

How IoT Data Collection and Aggregation with Local Event Processing Work

Trying to predict how many Internet of Things (IoT) devices will go online over the next decade is like trying to predict the growth rate of rabbits in the wild. It suffices to say that 2017 could be the year in which IoT devices exceed the total human population, based on a Gartner forecast of 8.4 billion IoT connected devices, or one device for each of the 7.5 billion people, plus just under a billion more to spare.

Why Location Is Critical in Retail’s Digital Transformation

Like all industry sectors, retail is undergoing a dramatic transformation. It started years ago with the emergence of what we then called e-commerce, and the trend is now accelerating with massive disruption in the way consumers are shopping. It’s requiring traditional retailers to adapt to digital and pure internet players to connect with physical stores.

Data Cache and Edge Placement

The forces compelling digital businesses to place more of their data at the edge are real, however, the transition requires careful design. The perception is that moving large datasets out to the edge can create management and accountability problems that would not occur if the data were managed centrally.

Manage Growing Security Complexity with Edge-Based Analytics

Enterprise security has become infinitely more difficult to achieve. Cybercrime is growing at the same pace and sophistication as evolving technologies within digital business, including those undisclosed computer-software (“Zero-day”) vulnerabilities in systems, applications, data and networks that hackers love to exploit.

Energy Companies Need to Hit the Gas in the Digital Transformation Race

LD10 enables our customers to operate on an expanded global platform to process, store and distribute larger volumes of latency-sensitive data and applications at the digital edge, in closer proximity to end-users and local markets.

Why Deploy Identity and Key Management at the Edge

The IOA Security Blueprint Identity and Key Management Security Design Pattern provides a step-by-step strategy for gaining greater control over security functions by deploying local, vendor-neutral identity and encryption key management services.

Embracing the Digital Edge to Thrive in Asia

To respond to an evolving digital landscape, business and IT need to transform from siloed and fixed architectures to integrated and dynamic. Rather than taking everything back into core systems to be processed, organizations need to push out some of their applications and data to the network edge, and create an environment in which the data handshake is intelligent, seamless and highly available.