IT Leader provides insight and guidance on issues impacting information technology and telecommunications professionals, focusing on overall market trends, strategic issues, and advice on supplier activities.
Technology company employees need to enable reinvention, even if it will diminish their current product line.
Buyers can and should scrutinize how a technology vendor handles reinvention due to technological or economic change.
Companies in the technology space often talk about reinvention, a renaissance in which the company will not only take a bold new stance, but also produce a new product or service that will rapidly become the majority of their business. Some companies have even done it and are held in the highest esteem. The best example of that would be Apple, which went from virtually moribund in the 1990s to a powerhouse in the early 2000s. Continue reading “Reinvention Isn’t Easy”→
The smart city is one of the key use cases for the Internet of Things (IoT), with the connected urban environment and infrastructure providing benefits to both local government and its citizens.
LoRaWAN is especially useful in large-scale, integrated smart city deployments because of its availability, cost, and reach.
While the public sector isn’t usually considered the most advanced technology vertical, until recently, it accounted for more Internet of Things (IoT) deployments than any other. Much of that activity has been focused on the smart city, where local governments – and their contracted agencies – have sought to use connectivity to monitor, track, or control city assets, with an overall goal of providing citizens with more efficient services. Continue reading “Powering the Integrated Smart City with LoRaWAN”→
Vendors with business process management (BPM) heritages and low-code expertise are well positioned to address complex workflows in high-compliance industries.
Consolidation has accelerated in recent months, including Google’s acquisition of no-code vendor AppSheet, Microsoft’s acquisition of robotic process automation (RPA) vendor Softomotive, SAP’s acquisition of RPA provider Contextor, and Appian’s acquisition of the Jidoka RPA platform.
Automation pioneers are readying new DevOps solutions which ease the backend data integration and business processes requirements required of app modernization. GlobalData has just completed an IPA series of Advisory Reports, where Part I defined and described the emerging market segment and Part II identifies those vendors which are demonstrating thought leadership through early intelligent process automation (IPA) initiatives including consolidated solutions presented in a still-evolving market . Vendors included in this report are: Appian, Google, IBM, Microsoft, Pegasystems, Red Hat, Salesforce, SAP, and ServiceNow. Continue reading “GlobalData Identifies the Vendors Marrying AI-Based Low-Code with Robotic Software”→
Edge computing and Internet of Things (IoT) innovation could play a major role in helping to drive a post COVID-19 recovery for the UK economy.
Initiatives to harness the benefits of edge computing will need to be collaborative, as well as addressing important questions about architecture design, energy use and security.
Edge computing involves the use of computer processing, data storage and analytics capabilities close to the places where data is collected and where digital content and applications are consumed. Edge computing is increasingly seen as an essential enabling technology for a wide range of applications related to IoT, including environmental monitoring and traffic optimization sensors as well as IoT solutions that support energy and water management in social housing and public sector buildings. Local processing capabilities remove the need to send data to far-off data centres for processing, therefore accelerating the speed at which IoT sensor data can be processed and acted on. An associated benefit is the lower bandwidth and storage consumption costs that can be gained by not having to send large volumes of data to be processed elsewhere. Continue reading “COVID-19: IoT and Edge Computing Could Support Green Recovery for UK Economy”→
Cisco’s virtual IoT summit (held on June 18 as a special adjunct to Cisco Live) helped illustrate how its IoT products and those of its partners work together to provide end-to-end solutions to businesses in diverse industrial verticals and help bring together IT and OT constituencies.
Recent additions to the IoT portfolio include high-capacity and ruggedized networking equipment to meet industrial requirements, while Cisco’s intended acquisition of Fluidmesh and a variety of partner solutions add differentiated capabilities.
Cisco acknowledges that the customer’s need for visibility and security, IT/OT collaboration, and expanded connectivity is driving its IoT solution mix. It is optimistic about the road ahead for IoT, seeing new opportunities in smart cities, railways, utilities, public safety, manufacturing, oil & gas, ports, and mining. As organizations are converging to all-IP networks, they are also experimenting with use cases such as real-time traffic updates, automated power distribution, predictive maintenance, and wireless backhaul for fast-moving assets. This need for higher performance and bandwidth plays into Cisco’s core routing and switching product portfolio, so it is no surprise that two new products noted at the Summit were for network connectivity equipment. However, beyond routers and switches, the vendor also has products and platforms for IoT connectivity management, data control and exchange, edge computing, and cybersecurity as well as a lot of interesting partner solutions that add to its IoT opportunities. With these building blocks, in Cisco’s words, it can help “build a robust network, identify and secure devices, expand connectivity everywhere, extract data, and drive outcomes.” Continue reading “Cisco Fleshes Out Its IoT Vision at Virtual Summit”→
As more countries roll out contact tracing apps to notify citizens when they have come into contact with someone who has tested positive for COVID-19, concerns are emerging about how this data could be used.
Human rights organization Amnesty International called out the apps from Bahrain, Norway, and Kuwait for not anonymizing end-user data.
Amnesty International is issuing a warning that some of the new COVID-19 contact tracing apps may not just be an invasion of privacy but potentially put lives at risk. Contact tracing – the process of finding and notifying people who have interacted with an infected person so they can be tested and quarantine – is vital to allowing businesses, educational institutions, and governments to resume operations that are closer to normal even as the virus continues to spread. Continue reading “COVID-19: Some Countries Come Under Fire for the Potential Misuse of Contact Tracing Apps”→
Tech companies must take ethical action when society and the law are unready.
Customers are increasingly demanding that companies use suppliers that are ethically sound.
The technology industry moves fast. Often it outpaces the society it serves from a social and legal standpoint. In this gap, it ethically falls to the tech industry not only to restrain itself, but also to set examples and to educate until the social and legal parts of society catch up. The latest example of this is facial recognition technology. Continue reading “Lead with Ethical Behavior or Your Customers Will Leave You Behind”→
• AI was featured prominently during Microsoft Build 2020, with a tagline of ‘Putting AI Into Action’ and a goal of bringing state of the art AI to all developers.
• Microsoft made several announcements that supported this vision, including updates on Microsoft Project Turing model, investments in infrastructure for AI processing, and the preview of Project Bonsai.
Microsoft’s annual developer conference, Microsoft Build 2020, was held as a virtual event on May 19 and 20, with more than 200,000 people registered. When kicking off Microsoft Build 2020, CEO Satya Nadella noted that the technology industry is being called upon to address the world’s most acute needs, and that developers are now more important than ever. He pointed out that organizations need the ability to remote everything at a moment’s notice, and to simulate and automate everywhere to enable more agile responses. Continue reading “Build 2020: Microsoft ‘Goes Big’ on AI and Demonstrates Thought Leadership”→
• There has been widespread evidence of layoffs, pay cuts and furloughs at IT vendors, partners, and their customers and more economic pain on the horizon
• Individuals can help each other, paying forward with job introductions, recommendations, and encouragement
Times are tough for enterprise IT vendors. The economic downturn as a result of the COVID-19 pandemic has hit them hard. Some IT vendors, particularly the ones involved in cloud or collaboration have of course seen great increases in business, but the traditional vendors and of course startups are taking a beating.
In mid-May, AWS highlighted its portfolio of AI tools and solutions during its AWS Summit Online for the Americas region and announced the general availability of Amazon Kendra for enterprises.
Tools that support AI model development and management and pre-built solutions that can be easily deployed by developers who aren’t AI experts help streamline AI adoption.
AWS understands the challenges enterprises face when building their own machine learning models. The company notes that when scaling AI adoption, enterprises face wide-ranging complexities that can start as early as the data collection stage and continue throughout the model management lifecycle. At the beginning of a project, organizations face challenges related to data identification, storage, and curation as they pull together disparate data sources. Later, while building and training models, they need to manage numerous other complexities, such as sharing notebooks and pre-trained models. They need to ensure effective collaboration among what can be a growing number of individuals or teams, each with their own specializations. And, since machine learning models aren’t usually perfect the first time, team members need to communicate during the process of model tuning and optimization. They need to manage multiple versions of models, run experimental models in real time, and compare results. Even after deployment, machine learning algorithms need to be managed and monitored for concerns such as data drift, with newer versions deployed as additional data is collected or the factors that impact model results change. Managing these tasks can be challenging, and as AWS rightly points out, tools that help manage the complexities do much to streamline and speed AI deployments. Continue reading “AWS Aims to Make AI More Accessible for Both AI Specialists and Non-AI Experts”→