Profile of Lisa MorganFreelance Writer
News & Commentary Posts: 296
Lisa Morgan is a freelance writer who covers big data and BI for InformationWeek. She has contributed articles, reports, and other types of content to various publications and sites ranging from SD Times to the Economist Intelligent Unit. Frequent areas of coverage include big data, mobility, enterprise software, the cloud, software development, and emerging cultural issues affecting the C-suite.
Articles by Lisa Morgan
Not everyone has been trained to think like a data scientist or a data analyst, but they can learn to think more like one.
The C-suite has expanded, but will the trend continue? Likely yes, but how depends on what your company values most.
COVID-19 obliterated business travel. Some companies are partially replacing it with holograms.
Want to talk to a human? You're not alone. The fundamental problem with chatbots is language.
In the race to implement AI, some companies may overlook important details that can mean the difference between success and failure.
COVID-19 disrupted the world and predictive models in 2020. In 2021, we're somewhat better prepared to deal with extreme uncertainty.
What would you do differently if you had the chance to start your IT career all over again? We asked seasoned tech pros for advice that they would pass on, and hereís what they had to say.
The world of IT is constantly evolving and with it, IT positions. However, there's no one path that will suit all organizations.
Business competitiveness rules and technologies are constantly changing, and with them, the role of the CIO.
More organizations are embracing the concept of responsible AI, but faulty assumptions can impede success.
Edge computing is very much a work in progress, but there are several interesting use cases at work today and more anticipated for the future. Hereís a look at the possibilities.
Value stream management is getting more attention outside of software development circles because digital transformation demands it.
There are more discussions about AI ethics and responsible AI these days, but companies need to be clear about potential AI liability issues.
While DevOps as a practice is evolving, so are the roles within a DevOps team. Following are explanations of some of the trends worth watching.
Enterprises are automating more tasks to improve operational efficiencies and lower costs, but how far will they go, and why?
DevOps was just the beginning. Now, organizations are adopting other forms of Ops inside and outside IT. But are they missing the point?
The advancement of human-machine partnerships requires emotion detection and appropriate responses in context, but it's a tough problem.
Many DevOps teams are advancing to CI/CD -- some more gracefully than others. Recognizing common pitfalls and following best practices helps.
The chaos made for some memorable and downright embarrassing moments, which, of course, had to happen while we were videoconferencing.
Tech news never sleeps, but you may have missed (or forgotten about!) a major story or two this year because working at home can be really distracting.
Neither DevOps nor PaaS are new. However, aligning them is efficient and cost-effective.
DevOps teams are at different stages of maturity. However, there are some common challenges they face along the way.
While many IT professionals love learning new things, IT leaders and their organizations must do several things to facilitate a smooth transition to cloud.
Most companies have a hybrid cloud strategy but IT departments are struggling with it. Distributed cloud addresses some of the issues.
Vendors are continuously adding new capabilities to their products, but there are some fundamental things that enterprises need to get right before they see the benefits.
2020 disrupted most companies' plans, but some were better positioned to weather the pandemic's impact than others.
Digital transformation strategies are common, but many enterprises lack an AI strategy. Where does it fit? Not everyone agrees.
Every company's digital transformation plans got sidetracked by COVID-19, but there are additional reasons why their strategies are not full steam ahead.
COVID-19 shoved enterprises into the cloud. While remote work is sustainable, emergency cloud strategies are not.
It's hard to tell what's real and what isn't. If one of your executives or your company is the victim of deepfakes, what's IT going to do about it?
Tech conferences still tend to reflect traditional biases. In today's world, diversity and inclusion should be priorities.
Enterprises are automating more tasks and processes thanks to AI and machine learning, but they're getting different results because some didn't think it through first.
Congratulations. Your software works, but so what? Application quality matters more these days. A lot more.
16.3 Million Americans are unemployed right now, but IT positions are relatively safe.
Rapid, sometimes dramatic change has become "the new normal," but what we know now can help us improve predictive model accuracy.
Organizations adopt data science with the goal of getting answers to more types of questions, but those answers are not absolute.
Organizations have accelerated their moves into the cloud, but they need to change their approach if they want to be successful in the long run.
As IT continues to expand into new areas, there are lots of potential career moves. Some lie outside the IT department.
The pandemic has had an uneven impact on businesses and industries. However, the common thread has been rapid and sometimes dramatic change.
Increasing levels of economic uncertainty and fast-paced technology change mean IT professionals should look at their career paths differently.
The soft economy just gave cloud adoption a shove. Get ready for more autonomous IT resources.
Contact-tracing apps are fueling more AI ethics discussions, particularly around privacy. The longer term challenge is approaching AI ethics holistically.
Cloud migrations are accelerating in the wake of the pandemic. The new normal is even more virtual.
Organizations are reducing their workforces to reduce costs, but they may be sacrificing long-term stability for short-term savings.
Organizational risks are expanding with digital transformation, so enterprise risk management has become essential.
The COVID-19 pandemic is impacting data and analytics strategies in profound ways. Experts explain what your company should be doing right now.
Extreme circumstances necessitate extreme agility. Here's how to weather the storm amid widespread, systemic change.
Getting the cloud talent you need when you need it can be tough, but creative problem-solving can help.
Despite the rise of IT-related AI, automation and self-healing systems, companies are still facing IT shortages as they become increasingly digital.
Corporate memories are at risk because the growth in data is outpacing companies' ability to govern and manage it.
Pattern recognition and anomaly detection provide insight into unwanted behavior, but mainstream techniques may be missing subtle clues.
Enterprises are running into challenges with robotic process automation because lines of business or IT are missing the bigger picture. Thinking strategically and cross-functionally helps.
Understanding the details of customer behavior can increase sales and marketing ROI, but misusing that data can be expensive and unnecessary.
There are a lot of misconceptions about ML that can have a negative impact on one's career and reputation. Forrester and ABI Research weigh in.
Today's managers and executives need to oversee humans and machines in this age of AI and RPA, but should machines be managed as humans in a way that some suggest?
"Applications" have evolved from large monolithic structures to their decomposed equivalents. The trend will continue with some interesting twists.
Bias can result in undesirable AI outcomes. A recent DataRobot survey says organizations are most concerned about its impact on trust and their reputations.
As software delivery cycles continue to shrink, software teams have to minimize the remaining inefficiencies, regardless of where they are in the SDLC.
Keeping the lights on isn't enough anymore. In this century, the IT departmentís goals must align with those of the business.
Text analytics has been the biggest use case for NLP, but now BI and analytics vendors are adding it to their products to make them easier to use.
Companies are moving further into the cloud and undergoing data modernization. What some don't realize yet is that one strategy is better than two.
The CDO role continues to change with competitive pressures. Where are you on your journey and what do you need to do to get to the next level?
Automation isnít new to IT, but autonomous systems are, which is why IT leaders and professionals have to think about the value they're delivering, again.
AI and machine learning are becoming more commonplace, but the people using such systems may not be qualified to operate them.
Self-service may help reduce shadow IT, but it wonít eliminate it. Business-IT relationships help.
More enterprise organizations are experimenting with AI-based voice assistants to boost internal efficiencies, but it will be a while before they realize the ROI they seek.
Affective computing systems impact human emotions. They arenít necessarily able to recognize or respond to emotions well yet, but that will change.
AI is being embedded in human capital management applications, but there are many reasons they're not necessarily ripe for prime time, according to Gartner.
If you really want to understand the capabilities and limitations of machine learning, you have to get hands-on. Here's a short list of options for beginners.
Technology and business are evolving rapidly. You can contribute to your career and your organization more effectively by keeping one thing in mind.
According to industry hype, the latest emerging technology will change everything. No technology is an island, however, which is where things get interesting.
AI and machine learning are powered by lots of data, so much so that one futurist thinks today's cloud architectures aren't enough.
Many things in our modern world involve behavior modification. In fact, some organizations are setting up "nudge units," but why?
Organizations across industries are extending their infrastructures outward to enable IoT, but not all of them are able to use data as well as they'd hoped.
Not all organizations are succeeding with their digital transformation efforts. For one thing, the focus of their success metrics may be too narrow.
Most companies have IT-related risk management programs, but they need to be updated to include the nuances of AI.
Enterprise approaches to data privacy and governance need a refresh when it comes to AI because things can go wrong at scale, fast.
Continuing education is critical for IT professionals, but where should they go to get it? There are so many choices and so little time.
The roles of chief information officers (CIOs) can vary significantly. Some are strategic business leaders, others are tactical implementers, some fall somewhere in between. What they do says a lot about your company.
Non-traditional IT roles continue to emerge with new business models and technology. Is your career on track?
Headline news just hit, customers are livid, lawsuits are imminent. Whom should be held responsible when an IT error disrupts business?
Nine big tech firms are deciding your company's fate and even the fate of humanity simply because they have the most control over AI.
Fullstack Academy and Cal Poly University Extended Education recently partnered on a coding bootcamp that helps students find employment as programmers.
Municipal IT leaders manage a lot of complexity; improving government efficiency, protecting citizens, and making cities attractive places to work, live and visit.
Organizations tend to get different results with digital transformation. To realize business value, first realize that transformation isnít just about tech.
An Illinois court ruling underscores the importance of providing notice of biometric data collection and use. Violate the law and your company could be sued.
As enterprises travel on a digital transformation path, they need to stay current with analytics, but itís not a linear journey.
CES exhibitors continue their tradition of zany tech announcements, almost all of which are cool. However, some of the innovations signal trends IT should consider.
Enterprises often make the same mistakes when adopting technology, generation after generation. A PwC tech leader outlines seven considerations to keep in mind.
Organizations continue to become more metrics-driven, but when business outcomes donít turn out as expected, the lament is sometimes ďwe were measuring the wrong things.Ē If you want to measure the right things, consider these tips from Gartner's Doug Laney.
More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there are better -- and worse -- ways of approaching it. If you want to improve the outcome of your efforts in 2019, consider these points.
When building and using autonomous and intelligent systems, itís important to know theyíre behaving reliably, because if things go wrong, they can do so at scale, fast.
Robotics use cases are endless, but the overhead of developing them is stymying progress. AWS Robomaker, announced at AWS re:Invent, with lowers the barriers so developers can spend more time innovating.
Customers are constantly asking Amazon to help them accomplish more in less time at lower costs. Amazon CEO Andy Jassy said the company is listening. Hereís what AWS presented as proof.
IT continues to lose control of technologies used in the enterprise. A recent report explains just how empowered end users have become, especially when it comes to communications and collaboration technologies.
Augmented reality (AR) and virtual reality (VR) were supposed to transform user experiences, but technologies have had false and soft starts in various industries. Here's why.
Boards of directors should know that the value of their company's intangible assets probably outweighs the value of their tangible assets. However, their lack of specific knowledge about the details is resulting in lawsuits.
Organizations are using data to facilitate digital transformation, making data analytics a booming market. We highlight vendors that are addressing enterprise challenges with products for advanced analytics, machine learning, and data governance.
Agile, DevOps, Continuous Delivery and Continuous Development all help improve software delivery speed. However, as more applications and software development tools include AI, might software developers be trading trust and safety for speed?
Organizations have had a tough time trying to comply with the European Union's GDPR and now they have to consider the potential effect of the California Consumer Privacy Act (CCPA).