Tech at the Edge: CIP-Powered Chatbots, The Market for AI Edge Software + Can We Safeguard IoT?
In this episode of "Tech at the Edge", we learn IoT is outpacing its bastion, see how a home-grown financial services conglomerate in Malaysia is transforming to better connect with its partners and we gauge the market for edge artificial intelligence.
In our lead story, there is evidence that the enterprise internet of things ecosystem is extending (and not necessarily in a safe way) beyond corporate devices. In other words, IoT tech is moving quicker than the safeguards.
Over a 30-day period, IoT experts at Zscaler looked at 56 million transactions processed in the cloud from 270 different types of IoT devices made by 153 different manufacturers. The analysis showed that more than 1,000 organizations have at least one active IoT device.
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The most commonly detected IoT devices included IP cameras, smart watches, printers, smart TVs, set top boxes, IP phones, medical devices, and data-collection terminals
"We observed that over 90 percent of IoT transactions are occurring over a plain text channel, which we believe makes these devices and the enterprises that house them vulnerable to crafted attacks," said Deepen Desai, VP at Zscaler. "Enterprises need to assess their IoT footprint."
What's even more alarming is that non-cloud edge traffic is only going to increase. In fact, some experts believe the "edge" will be processing data in 59% of internet of things deployments by 2025. For reference, around 44% of companies are currently using edge computing.
"While the cloud represents an increasingly common model for analyzing IoT data, enthusiasm is growing for edge computing, where data can be analyzed and filtered at the edge of the network" said Andrew Brown, Executive Director at Strategy Analytics. "Taking a more efficient and optimized approach in terms of what data is sent to the cloud, with reductions in traffic volumes, has positive net effects both on the security of the data being sent and the cost of sending data to the cloud."
But despite the Edge's benefits including faster response times, improved application performance, reduced network traffic, security and reduced demand on cloud infrastructure, the experts caution that challenges to adopting the edge remain.
These include immaturity of the current market, customers that don't want to change their current setup, lack of familiarity with edge computing and a want of transparency over costs.
In other news, Affin Hwang AM, a leading provider of investment banking services in Malaysia, was at a crossroads. The company had set a goal of accelerating the pace of rapid application development and deploying DevOps processes but it was facing a baffling sea of possible solutions.
In particular, they wanted to leverage API management platforms which are essential to digital businesses adopting cloud-native development and deployment practices.
"Our commitment to continually drive innovation and enhance our clients' investing experience pushes us to seek new capabilities to respond to their needs," said Allen Woo, company CIO.
Enter TIBCO Software, and collaboration between the two parties to leverage a connected intelligence platform. This work has led to the development of the company's first AI-powered chatbot, called Nadia, that is able to respond to client queries on portfolios and account balances in real time.
"We are now taking steps to leverage the full capabilities of the API to instill deeper learning within Nadia and offer a more personalized service" added Woo. "These efforts bode well for our innovative initiatives to create value for our clients. We have also been able to significantly save time and cost on integration, as well as streamline development."
Here's some news that falls into the same category... The global market for edge artificial intelligence software is expected to grow at nearly 27% annually and reach $1.15 billion by 2023.
The major factors driving edge AI growth are the increasing enterprise workloads on the cloud and rapid growth in the number of intelligent applications.
Furthermore, the emergence of the 5G network to bring IT and telecom together and growing demand for applications with minimized latency and quick response time is expected to provide opportunities for the growth.
"Edge AI software solutions enable organizations to store and access data which needs a real-time response on the edge nodes and devices" said Research and Markets dot com. "Edge AI would also decrease the frequency of contact with cloud servers, (which could) enhance the speed of decision-making."
However, interoperability issues, and optimization standards are moderating the adoption of Edge AI software solutions. Plus, AI's weakness in stopping zero-day and advanced threats, and rise in insider cyber threats are continually being broached in the media.
"Tech at the Edge" is produced by TVP in New York City. and sponsored by RestonLogic, cloud wizards leveraging over 10 years experience helping companies automate, transform and build highly-secure and stable systems. RestonLogic offers a complete suite of IT and cybersecurity solutions from managed services to strategic advisory. Visit RestonLogic dot com to book a strategy session today.
Disclaimer: The blurbs highlighted on "Tech at the Edge" are available for information purposes only, and don't necessarily reflect opinions of our editors.
Page Updated Last on: Jun 30, 2019