In her article, Prerna Lal discusses the use of ML techniques to address cyberthreats and explores the benefits of AI-based cybersecurity solutions.

In her article, Prerna Lal discusses the use of ML techniques to address cyberthreats and explores the benefits of AI-based cybersecurity solutions.

Helen Pukszta outlines several potential enterprise applications of drones in different industry sectors with illustrative real-world examples. She briefly highlights how Part 107 of Chapter 14 of the US Code of Federal Regulations redefines commercial drone use and the risks drones pose. She also discusses the challenges and limitations of today’s drones and how those concerns are being addressed. The barriers to employing drones for business are quickly melting away, and it’s time to pursue the opportunities that drones present, she advises.

Helen Pukszta outlines several potential enterprise applications of drones in different industry sectors with illustrative real-world examples. She briefly highlights how Part 107 of Chapter 14 of the US Code of Federal Regulations redefines commercial drone use and the risks drones pose. She also discusses the challenges and limitations of today’s drones and how those concerns are being addressed. The barriers to employing drones for business are quickly melting away, and it’s time to pursue the opportunities that drones present, she advises.

Paul Clermont discusses the adoption and impact of AI for automation. After a brief history of AI, Clermont discusses the dangers AI poses. Though technologists have perceived the dangers for some time, he notes that only now are the dangers starting to draw the attention of ordinary citizens and politicians. On a positive note, he outlines the measures that government, the tech industry, regulatory agencies, and the public are taking to address major dangers that AI and its applications present. He emphasizes government’s role in tackling the issues surrounding the use of AI and identifies a few specific areas that government should address.

Paul Clermont discusses the adoption and impact of AI for automation. After a brief history of AI, Clermont discusses the dangers AI poses. Though technologists have perceived the dangers for some time, he notes that only now are the dangers starting to draw the attention of ordinary citizens and politicians. On a positive note, he outlines the measures that government, the tech industry, regulatory agencies, and the public are taking to address major dangers that AI and its applications present. He emphasizes government’s role in tackling the issues surrounding the use of AI and identifies a few specific areas that government should address.

Thomas Costello and Phil Laplante focus on the use of blockchain technology in automation appli­­­cations. Following a brief outline of the benefits of using blockchain technology, they discuss blockchain’s potential to provide transformational improvements in business process automation (BPA) in several industry sectors. They also highlight how blockchain could improve trust in, and the dependability of, BPA and examine the challenges in practical implementation of blockchain technology. Furthermore, they present a set of customizable questions to help implementers decide whether a business process is suitable for, and can benefit from, a blockchain implementation.

Thomas Costello and Phil Laplante focus on the use of blockchain technology in automation appli­­­cations. Following a brief outline of the benefits of using blockchain technology, they discuss blockchain’s potential to provide transformational improvements in business process automation (BPA) in several industry sectors. They also highlight how blockchain could improve trust in, and the dependability of, BPA and examine the challenges in practical implementation of blockchain technology. Furthermore, they present a set of customizable questions to help implementers decide whether a business process is suitable for, and can benefit from, a blockchain implementation.

We feature eight articles in this issue that cover a range of topics of interest — from technologies that drive and support new frontiers in automation, such as blockchain, AI, and security, to automation strategies and design considerations.

We feature eight articles in this issue that cover a range of topics of interest — from technologies that drive and support new frontiers in automation, such as blockchain, AI, and security, to automation strategies and design considerations.

When I worked with the Air Force years ago, they had a requirement for every program to capture lessons learned when the product was delivered. The programs that I worked with faithfully carried out this mandate and developed reams of reports that were compiled as lessons learned databases. Unfortunately, there was no requirement to review these databases in anticipation of new starts or to make policy/procedure corrections. As a result, the suggestions and experience that they contained was often lost. Let’s see what we can do to fix this at each of the levels of retrospective.

When I worked with the Air Force years ago, they had a requirement for every program to capture lessons learned when the product was delivered. The programs that I worked with faithfully carried out this mandate and developed reams of reports that were compiled as lessons learned databases. Unfortunately, there was no requirement to review these databases in anticipation of new starts or to make policy/procedure corrections. As a result, the suggestions and experience that they contained was often lost. Let’s see what we can do to fix this at each of the levels of retrospective.

It is little wonder that banking and financial services rank at the very top today among the industries AI will impact greatly, according to findings from a recent Cutter Consortium survey examining the adoption and application of AI technology in the enterprise. This Advisor explores the various trends and industry developments that are driving AI adoption in banking and finance.

In this webinar, you'll discover why the ambidextrous organization has an advantage in the age of disruption, and how your organization can achieve that balance.

When approaching an architecture representation, a key point is its decomposition into elements, usually leading to a containment-based representation structure. We might then navigate the architecture along the “containing” relations (for example, whenever a link is labeled as “part of” or “implements,” it is a “containing relation” by nature), or using predefined viewpoints. To reach the ideal balance in governing architecture, the challenge is to harmonize the intentional and the emergent architectures.

“Know your customer” (KYC), a key process for banks today, remains, in most cases, a very costly and long process. Most challenges lie in the efficiency of verifying customer-provided information. With digitally verified claims, verification can be improved, accelerated, and replicated on a large scale. KYC and digitally verified claims open new business opportunities for banks to act as validators for other organizations. This Advisor explores two case studies of KYC implementation.

Here in Part XI of this Executive Update series, we look at how responding organizations view the success of their AI application development efforts to date, including whether they are deriving any benefits from their deployed AI applications and whether such applications are, in fact, actually changing how their organizations operate. 

Here in Part XI of this Executive Update series, we look at how responding organizations view the success of their AI application development efforts to date, including whether they are deriving any benefits from their deployed AI applications and whether such applications are, in fact, actually changing how their organizations operate. 

Although some jobs will disappear during the AI transformation, AI was not created to eliminate jobs but to automate mundane or time-consuming tasks. This will complement and empower humans to be more effective and efficient at jobs that require human insights and judgment. Organizations that fail to pay attention to the AI digital transformation are putting themselves at risk. Employees need to understand this reality and view this required personal transformation as an opportunity to grow and tackle new opportunities. Today it is no longer a matter of what you know, but how fast you can learn and adapt.

One of the techniques people in the Agile community argue for is retrospectives. A retrospective refers to a meeting held at the end of an iteration where teammates reflect on what they experienced and recommend improvements. It is an important tool because it allows the team to take advantage of their lessons learned. The bottom line is that organizations need to put processes in place to facilitate sharing. Besides being easy to use, developers need to be motivated to use these processes, or else the databases that are provided will remain unused.

One of the techniques people in the Agile community argue for is retrospectives. A retrospective refers to a meeting held at the end of an iteration where teammates reflect on what they experienced and recommend improvements. It is an important tool because it allows the team to take advantage of their lessons learned. The bottom line is that organizations need to put processes in place to facilitate sharing. Besides being easy to use, developers need to be motivated to use these processes, or else the databases that are provided will remain unused.

Though robotic process automation (RPA) implementations mimic humans and replace human effort, they cannot, as of yet, replace humans’ emotional ability. By freeing humans from repetitive tasks, RPA will allow humans to focus on better understanding customer needs in different situations and better connection with customers. Humans can then perform tasks that require uniquely human strengths like emotional intelligence and judgment, enabling better interaction with customers.

Architecture stories are important to articulate so they gain visibility. For example, if you have a feature idea that you think a user would value, you might define a minimum viable product for it and whip up a quick/cheap prototype before making a final implementation decision. If the feedback isn’t positive, then you’d quickly pivot in another direction. The point is that I want the same level of thoughtful planning to occur for architecture as for features.

This Executive Update takes a closer look at being Agile when it comes to firmware. We begin with some tutorial information. Next, we discuss the firmware development process. Finally, we explore the issues typically encountered and identify ways some have taken to resolve them.

To meet increasingly elevated customer expectations, organizations are implementing detailed strategies for distributing and standardizing customer experience (CX) practices and technologies across their various lines of business. In this Advisor, we explore the five most significant challenges organizations face in implementing CX strategies and supporting technologies.