Lisa Morgan - Authors & Columnists - InformationWeek
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Author
 Lisa Morgan

Profile of Lisa Morgan

Freelance Writer
News & Commentary Posts: 158

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

5 Reasons Data Scientists Should Adopt DevOps Practices

2/19/2018
Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production. DevOps has promoted more collaboration between developers and IT operations. Data scientists and data science teams face similar challenges, which DevOps concepts can help address.

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How AR/VR Analytics May Help Your Business

2/13/2018
Alternative and virtual realities provide organizations with new opportunities to reimagine product demos, employee training and more. As the systems collect and generate data, there are opportunities to use the new streams in innovative ways.

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Why Businesses Must Think About Voice Interfaces, Now

2/7/2018
Alexa's popularity among consumers serves as a wake-up call for businesses. Eventually, voice interfaces will replace keyboards, taps and swipes, but organizations must be wary of approaching voice interface design the same way they've approached web and mobile design. Before you begin, consider these points.

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B2B Chatbots are Poised for Explosive Growth

1/25/2018
There are best practices for approaching chatbots and virtual assistants as organizations move to a scenario where tasks happen transparently behind natural language interfaces. We explain some of the opportunities and pitfalls.

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5 Traits of Truly Innovative Companies

1/8/2018
When most people think about innovation, they think of companies like Amazon, Facebook, Apple, and Google because those companies appear to have some kind of magic that other organizations lack. If your company wants to make lightning strike repeatedly, consider these points.

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Beware Analytics' Mid-Life Crisis

12/4/2017
Analytics is spreading out to more departments that want to optimize their operations, but that may give users a false sense of freedom from IT. Here are some dynamics currently affecting IT.

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How Today's Analytics Change Recruiting

11/26/2017
HR analytics aren't mainstream yet, but they're gaining traction because human capital management is a competitive issue. From recruiting to employee performance and overall HR operations, analytics will have an increasing impact on companies and individuals.

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Why Your Business May Not Be Ready for AI

10/4/2017
Businesses in virtually all industries are using or experimenting with AI, but do they really understand the ultimate impact AI will have on their businesses? Not completely, according to a new survey by Genpact and FORTUNE Knowledge Group.

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How to Get Educated About Analytics

9/26/2017
Looking to get started in analytics or data science? Are you better off pursuing a degree or getting a certificate? Here's a closer look AT the different paths available TO aspiring DATA professionals.

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One Point the Equifax Breach Drives Home

9/18/2017
Equifax blamed its recent high-profile breach on the Apache Struts Web Framework. As software delivery cycles shrink, developers have to rely on more third-party components, libraries and frameworks. When they do, what are their liabilities and responsibilities?

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Why Automation and AI are Cool, Until They're Not

5/15/2017
Enterprises and jobs are changing fast as more tasks are automated with increasing levels of machine intelligence. Automation displaced manufacturing jobs, but it also enabled the creation of new businesses and career opportunities. Will knowledge workers and their employers adapt fast enough?

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DevOps Not Working? Here's Why

5/1/2017
DevOps has been hyped for a decade, but many still don't understand what it is, let alone what it does. There are many potholes on the road to DevOps. We explain how to avoid some of them.

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Why IT is in Jeopardy

4/21/2017
Change is the only constant, which IT professionals know all too well. However, as technology changes, their departments must too. Some IT departments are in trouble, big trouble if they don't do something fast. We explain a few reasons why.

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3 Cool AI Projects

4/18/2017
Are you ready for AI and machine learning? Here's an overview of three use cases to give you a flavor of just what is possible.

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DevOps Comes of Age

4/5/2017
More organizations have embraced DevOps to deliver higher quality software faster. Meanwhile, DevOps itself has evolved. We explain where DevOps is today and where it's is headed.

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Can Virtual Companies Scale?

3/27/2017
A lot of firms start out as virtual companies, but as they grow, they move into office space. It turns out there are advantages to staying virtual, however. We explain some of them.

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Why Collaboration is Critical in Technology Acquisition

3/9/2017
New technologies and solutions are compelling, so compelling that little thought may go into what will make them successful. Solutions architects can help, but they need help from IT and the business. Thought leaders, including an Interop ITX speaker, share advice.

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Self-Service Analytics Are A Necessity

2/8/2017
Users want answers to burning questions, but IT and the data team can't tackle them all at once. Self-service analytics help organizations triage problem-solving by providing many of the insights business users need.

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Data-Driven Effectiveness Is A Team Sport

2/2/2017
Smart people and the best technology aren't enough to drive a data-driven culture. It's all about people and collaboration, which is easier said than done. If you're serious about affecting change, consider these best practices.

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4 Ways Data-First Competitors Are Killing You

1/10/2017
Data is the new oil. Those that figure out how to use it more effectively than their competitors are realizing significant, strategic benefits. But what's so unique about data-first companies? Technology? People? Culture? It turns out, there's more than meets the eye.

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11 Ways IT Professionals Can Make Sense of IoT Data

8/29/2016
IoT devices are entering the workplace in all shapes and sizes, from workers wearing smartwatches to industrial sensors such as soil monitors. The data pouring in may be so overwhelming it's unclear what should be done with it, why, and what the risks might be. Here are a few ways to navigate the maze.

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13 Ways Machine Learning Can Steer You Wrong

8/17/2016
Applying machine learning and artificial intelligence to your decision-making can help your business stay competitive. But a lot can go wrong along the way. Without the proper checks and balances, machine learning efforts can spiral out of control, exposing your organization to risks. Here are 13 pitfalls to avoid.

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10 Ways Bots Can Improve Your Business Processes

8/10/2016
Businesses use bots to engage with customers, online and via social media, because they're a cost-effective way to respond instantly to simple queries. As the technology improves, bots are finding their way into more use-cases where human judgment and effort were traditionally required. Are bots right for your business? Here are 10 examples to help you decide.

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12 Types Of Data IT Can't Afford To Overlook

7/27/2016
Regardless of how much data your company has -- and how much your business leaders are asking for -- you're likely missing some hidden gems. Here are 12 examples of what you might be overlooking, and why it matters to IT professionals, and to your business at large.

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How To Hire Analytical Workers: 10 Traits To Seek

7/19/2016
Companies competing on data need the right skill sets and mindsets in place to succeed over the long term. While more individuals are analyzing data as part of their jobs, their ability to do so varies greatly, even among peers. We've identified 10 key traits of an analytical mind, and explain what to look for in your next hire and what skills to cultivate in your own career.

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12 Barriers To Real-Time Analytics

7/12/2016
As organizations look to stay competitive by expanding their use of real-time analytics, implementation becomes a challenge. Finding options to effectively serve your company over the long term is often more difficult than it appears. We've identified 12 common obstacles you'll want to avoid as your company pursues real-time analytics.

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12 Ways To Cultivate A Data-Savvy Workforce

7/7/2016
Organizations aspiring to become data-driven need to take a close look at their HR practices. If your company's hiring and retention standards aren't keeping up with the times, you may be losing valuable job candidates and employees. To minimize the pitfalls of building a data-savvy workforce, consider these tips.

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8 Smart Ways To Use Prescriptive Analytics

6/28/2016
Somewhere between blind faith and skepticism is the world of prescriptive analytics. Here, machine-generated action items and potential outcomes meet human decision-making. Finding the right balance between algorithms and common sense can be tricky, so consider these tips.

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Wearables At Work: 9 Security Steps Worth Taking

6/6/2016
Wearables are finding their way into organizations, whether or not IT departments are prepared to deal with them. As the number of endpoints continues to grow, so does the potential for hacks. These nine pointers will help you prepare your organization to keep ahead of threats.

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9 Secrets Of Data-Driven Companies

6/2/2016
What does it mean to call your company "data-driven?" Definitions range from simple reporting to viewing data science as a core business strategy. We asked executives from a variety of businesses to help us identify which traits are essential for becoming a truly data-driven company. See what we learned, and tell us how your organization stacks up.

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6 Barriers To IoT Data Flow

5/23/2016
Enterprises are integrating IoT devices into their ecosystems to get data that was not available previously. As with most new data sources, there may be concerns about whether the data is accessible, usable, valuable, and secure. Here are a few things to consider as your enterprise moves toward IoT.

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12 Ways AI Will Disrupt Your C-Suite

5/18/2016
McKinsey & Company estimates that as much as 45% of the tasks currently performed by people can be automated using existing technologies. If you haven't made an effort to understand how artificial intelligence will affect your company, now is the time to start.

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2017 State of IT Report
2017 State of IT Report
In today's technology-driven world, "innovation" has become a basic expectation. IT leaders are tasked with making technical magic, improving customer experience, and boosting the bottom line -- yet often without any increase to the IT budget. How are organizations striking the balance between new initiatives and cost control? Download our report to learn about the biggest challenges and how savvy IT executives are overcoming them.
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