Doing Data Science

DXC data scientists share their experiences in leading open research and transformation with data science

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Artificial intelligence in insurance: How to make insurance more personal, affordable and adaptable

When was the last time your insurance company realized you had a life change, like getting married or buying a house or having a baby, and designed a policy just for you? And presented it to you without being asked? Without encroaching on personal privacy, this is the vision of insurance in the future: personalized, […]

Artificial intelligence in banking: How to be more trustworthy, efficient and helpful

You know your bank, but how well does your bank know you? Banks want better relationships with their customers in order to provide more personalized and customized services. Artificial intelligence (AI) can help banks understand their customers in powerful new ways. Why AI? You may have heard the terms analytics, advanced analytics, machine learning and […]

Artificial intelligence in healthcare: How to cut waste, enhance care and improve lives

As the need for good and affordable healthcare mounts, using data to make better-informed healthcare decisions is essential. By deploying artificial intelligence (AI), healthcare organizations can leverage vast troves of data to better anticipate patient needs, staff for them, improve treatment decisions, and reduce health risks in select cohorts. Why AI? You may have heard […]

How big is a gigabyte (GB)?: Putting units of data into tangible scale

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Data permeates our lives. And, while data is measurable, it is also abstract, making it difficult for people to grasp its size or scale. This video shows data units re-imagined as more tangible objects, so we can more easily comprehend their scale. Logan Wilt is a data scientist for DXC. She is interested in practical […]

Why advanced analytics needs the cloud

The cloud makes it easier to launch enterprise-scale machine learning, but the variety of options can be confusing. Most industries are using intelligent machines to discover something new and do something better than human beings are doing it now. In energy and technology, algorithms are anticipating driver behaviors that could lead to loss and predict […]

From lakes to watersheds: A better approach to data management

As a data scientist, I have a vested interest in how data is managed in systems. After all, better data management means I can bring more value to the table. But I’ve come to learn, it’s not how an individual system manages data but how well the enterprise, holistically, manages data that amplifies the value […]

Thriving on change: My winding road to data science

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I didn’t start my career aiming to be data scientist. In fact, I didn’t start my career aiming for anything. I was the kid who could never settle on a career. Marine biologist, actor, doctor, engineer, police officer, artist, lawyer – every week I changed my mind on what I wanted to be. As I […]

Why big data is such a big deal now

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It can be easy to take for granted the amazing technologies we use every day just to function in our knowledge-driven world. Sometimes it’s important to take a step back and remind ourselves that we are truly living in a unique period of opportunity. According to a Forbes article, by the year 2020, every human […]

Thoughts from a data scientist: Becoming competent may be easier than you think

The difference between a beginner and someone who is experienced is confidence, which seems circular because confidence is built through experience. But that is because we use “experienced” as a synonym for competence, and there is a misconception in the amount of experience needed to achieve competence. One of my favorite, favorite, favorite TEDx Talks […]

How to get started with machine learning in manufacturing

Smart machines are changing the way we manufacture. Machine learning, a type of artificial intelligence that gives machines the ability to learn without human help, creates new connections between manufacturing design and technologies like augmented reality. But it also changes the actual practice of manufacturing. Today, machine-learning technology is relatively easy to acquire, but getting started with real-world applications in manufacturing can be […]