• These days, everyone is doing containerization in a mad, industry-wide rush toward what appears to be true cross-cloud compatibility.
• However, enterprise buyers need to be aware that when it comes to containerization and microservices, there’s a huge difference between compatibility and capability.
Back in 1964, media futurist Marshall McLuhan penned the often repeated but somewhat baffling phrase, “the medium is the message,” in an attempt to highlight the importance of the “where and how” of storytelling. To Mr. McLuhan, a film, a novel, and a comic may all tell the exact same story about a boy and his dragon, but importantly each would do so using very different conventions regarding the unfolding of the story, let’s say the manner in which each handles flashbacks. Those differences in turn shape our understanding of the story in unique ways.
Flash forward to the present and among technology providers, particularly those endeavoring to make the architectural leap from premises to cloud, Mr. McLuhan’s more than 55 year old notion seems strangely applicable if not downright prophetic. Let me explain: as a global market trend, the idea of abstraction through containerization technologies like Docker has entirely reshaped the global software landscape, forever altering the way developers create software. In short, abstractions allows developers to write once and run “virtually” anywhere by turning monolithic applications into a series of highly standardized yet extremely malleable microservices. Continue reading “In a Containerized World, Does the Cloud Really Matter Anymore?”→
• After a protracted legal battle that spanned nearly a decade, Cisco settled a lawsuit accepting accountability for a security flaw in a video surveillance system sold to Homeland Security, the Secret Service, and other U.S. government agencies.
• As part of the settlement, the partner’s employee who originally reported the vulnerability will receive $1.5 million.
Eight years after the filing of a lawsuit against Cisco on behalf of U.S. public sector customers and more than a decade after a Cisco contractor initially called attention to a serious security flaw in one of the vendor’s video surveillance solutions, the IT equipment maker reached an $8.6 million settlement with the aggrieved parties and admitted culpability. In a blog posted in late July, Cisco General Counsel Mark Chandler wrote that software developed by Broadware – a company acquired by Cisco – used an open architecture that could be vulnerable to a breach. The settlement amount equates to a partial refund to the U.S. federal government and 16 states that bought products between 2008 and 2013. And the $8.6 million settlement included a $1.6 million payment to the person who first identified the vulnerability, although ultimately, no breach ever occurred. Continue reading “Cisco’s Settlement Over Video Surveillance Flap Signifies a New Era in Vendor Accountability”→
• Operators and network infrastructure providers are vying to provide enterprises with “private” in-building networks that use cellular alternatives to WiFi (4G LTE and 5G), for advanced speed, reliability, security, and low latency.
• The supplier ecosystem for private nets is already crowded, and now Amazon and Google are among the applicants for 3.5 Ghz CBRS shared-spectrum management licenses. Enterprises can also apply for licenses themselves.
CBRS is a wireless technology that operates in three tiers: Tier 1 is used by the Navy, DoD, and by military satellites, while the other two tiers are for commercial use. Applicants can apply for: a Priority Access License (PAL), a non-renewable three-year license to use a 10MHz channel within the 3500-3650MHz portion of the band, in a limited geographical area. They can also apply for General Authorized Access (GAA), which is unlicensed, like WiFi, and provides dynamic allocation of available 100MHz channels so that access does not interfere with communications in the higher tiers. There are also applications for Special Temporary Authority (STA) to use the technology for testing purposes. Continue reading “Are CBRS-powered Private Nets a Threat to Operators?”→
New low-code app development platforms are leveraging AI to make apps more intuitive by providing recommendations during guided user interactions.
New low-code platforms address the application lifecycle, including speeding the process of app development, integrations, and automating workflow controls.
New complex development architectures, a shortage of professional software developers, and the need to modernize customer-facing apps quickly have increased pressure on DevOps development teams to accelerate software delivery. As a result, the concept of low-code application development tools has received heightened attention. New offerings are being rolled out with AI integrations, making the software even more intuitive and providing non-coders with even more clout in helping companies create business-to-consumer (B2C) apps with advanced capabilities. Continue reading “Will Low-Code Development Take Over App Modernization Projects?”→
• HPE announced plans to acquire MapR, augmenting its data analytics portfolio with proprietary file system technology.
• HPE’s purchase reinforces the message that to derive true value from an artificial intelligence (AI) implementation, enterprises need to master the basics of data management.
Life isn’t always as it seems, and the same can be said of AI. Sure, the sexy parts of AI are the platforms, the algorithms, the APIs, and the use cases. We are enamored with the natural language processing capabilities, the predictive maintenance, the improved decision making, and the ability to provide a more personalized customer experience. But there is also the intrigue. The seedy underbelly of AI is comprised of the ethical concerns that reveal the potential dark sides of the technology. What if models result in unfair bias against a specific gender or race? What about privacy concerns? What if it’s used for destructive rather than constructive purposes? Continue reading “HPE’s Acquisition of MapR Underscores That AI is All About Data”→
TM ONE leverages its wide ICT capabilities, research and development, and local knowledge to offer IoT solutions and gain a competitive edge in the market by addressing the needs of domestic enterprises.
However, the applications offered are limited and there are still gaps in its platform features compared to others in the market.
IoT in Malaysia and the Main Inhibitor
IoT has become a business need rather than a good-to-have technology. With benefits such as reducing operational expenditure, the technology is implemented by enterprises across verticals as a new solution or a replacement of the existing process. In Malaysia, the IoT deployment is growing, driven by the manufacturing sector, which accounts for over 80% of the country’s total exports and 23% of the GDP. However, overall adoption is still low, mainly due to the high solution cost and intangible business case, as revealed by a recent study done by GlobalData. For example, the labour and utility costs are low in the country, making it challenging for enterprises to justify the investment needed to implement IoT solutions. An IoT solution that replaces a human role needs to cost less than the minimum annual wage in the country (US$3,100) before the enterprise can start seeing the cost benefits. In another example, a solution that offers 25% of energy reduction from street lights offers savings of only US$20 per light, per year. While the benefits are proven and promising, the total investment required for end-to-end IoT solutions (connectivity, devices, platform, security and services) is often higher than the cost benefits a solution can offer in Malaysia. Continue reading “TM ONE Smart Services: End-to-End IoT Solutions Tailored for Local Needs”→
Enterprises should be prepared to be ‘guinea pigs’ for large tech companies seeking to develop replicable AI solutions.
Off-the-shelf AI solutions for vertical and horizontal use cases are being offered by a growing number of providers.
One of the biggest challenges to adopting AI is knowing where to start. In theory, AI can be applied to any and all aspects of an organization’s day-to-day operations. Furthermore, even if AI enhances a particular part of a business’s operations, it does not necessarily mean that the value returned will be worth the investment. One of the biggest beasts in the telecoms technology world, Cisco, has acknowledged that it has not brought as many AI-enhanced solutions to the market as it anticipated because it is still developing the use cases for AI. Continue reading “Making Money from AI: Use Cases and Experimentation”→