Making Data Simple

This special bonus episode of Making Data Simple talks about how to implement AI, machine learning and deep learning.

Making Data Simple host Al Martin has a chance to discuss all thing data with Laura Ellis, also known as Little Miss Data. Laura is an analytics architect for IBM Cloud as well as a frequent blogger. Together, they talk about how critical it is to understand your data in order create specific calls to action, and what it means to build a data democracy. Show Notes 00:00 - Follow @IBMAnalyticsSupport on Twitter. 00:22 - Check out our YouTube channel. We're posting full episodes weekly. 00:24 - Connect with Al Martin on LinkedIn and Twitter. 01:20 - Check out littlemissdata.com. 01:22 - Connect with Laura Ellis on Twitter, Instagram, and LinkedIn. 02:20 - Curious to know more about analytics architecture? Check out this IBM article on the topic. 03:52 - Check out the Little Miss Data article Al referenced here. 04:45 - Learn more about Data Democracy here in Laura's blog post. 05:31 - Understand more about the importance of data for your business in this article. 09:11 - Find out more about the challenges of being a data scientist here. 12:45 - Working with good quality data is crucial. Check out this article for more details. 16:12 - Simple data can provide the most effective returns. Learn more here. 21:15 - Choosing the right, supportive environment for your data science journey will make sure you don't get burnt out. This article examines your options. 21:35 - Data is a fundamental step when working with AI. But do you know the difference between data analytics, AI and machine learning? This Forbes article walks you through it. 22:42 - Need to brush up on what a data dashboard is? Learn more here.

On this episode of Data Decoded, host William McKnight sits down with Rob Harris (IBM, chief data governance architect) to discuss the current state of Master Data Management (MDM). They explore MDM's many applications to industries that include healthcare and even consumer products like smart watches.

Making Data Simple host Al Martin has a chance to discuss all things data with Laura Ellis, also known as Little Miss Data. Laura is an analytics architect for IBM Cloud as well as a frequent blogger. Together, they talk about how critical it is to understand your data in order to create specific calls to action, and what it means to build a data democracy.

On this week's Making Data Simple Podcast, we are joined by Steve Moore, IBM senior content designer and story strategist, along with Aishwarya Srinivasan, IBM data scientist and deep learning researcher. Aishwarya discusses what it means to be a unicorn in an industry and why it is useful to pair textbook learning from schooling with hands-on industry experience. Aishwarya, Steve, and Al explore how to use reinforcement learning to make better data decisions.

Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes how the decision to pursue a dream ultimately affected his career.

This week, Al Martin welcomes Jillian Lellis, senior data analyst at HOLT CAT, to the Making Data Simple podcast. Jill explores the significance of data visualization and the impact of visualizations on decision-making. Learn why visualization tools are increasing in importance as the volume of data we need to do our jobs expands almost indefinitely. Jill shares some examples of visualization in action and her thoughts on what's coming next in this exciting field.

Back by popular demand, Tanmay Bakshi returns to the Making Data Simple podcast to update our listeners on his groundbreaking work applying AI and machine learning to the healthcare industry. From exploring EEG patterns to enable people to communicate without speech to predicting adverse reactions to medication using advanced data techniques, Tanmay shares the latest news from these projects and others. Tanmay also discusses IBM's Call for Code and explores his latest research interests, including open source and Power AI vision.

Real-time data analytics is becoming a more important tool for businesses seeking to maximize productivity and establish themselves as leaders in the ever-changing landscape of evolving business practices today.

What does it mean to "go digital?" This week on the Making Data Simple Podcast, Thomas Hronis, worldwide digital technical enablement manager, IBM Hybrid Data Management, talks about digital transformation and experimentation with technology. He shares how IBM has radically changed some business processes and how we will continue to evolve. Learn how to deliver results and value to your customers with a focus on digital.

Two of the the most popular IBM podcasts collide in this special episode of Making Data Simple. Host Al Martin interviews William McKnight, president at McKnight Consulting Group and host of the Data Decoded podcast. Al and William discuss the pros and cons of big business versus consulting, trends in the data industry, and, of course, what it is like to host a podcast.

This week on the Making Data Simple podcast, Sriram Srinivasan – architect and senior technical staff member for IBM Data Science Experience – discusses how to build and nurture trusted analytics to better your business. Sriram also shares insights on IBM Cloud Private for Data.

This week on the Making Data Simple podcast, Sriram Srinivasan – architect and senior technical staff member for IBM Data Science Experience – discusses how to build and nurture trusted analytics to better your business. Sriram also shares insights on IBM Cloud Private for Data.

Are you getting enough sleep? On this week's episode of Making Data Simple, Dr. Kyu Rhee, vice president and Chief Health Officer for IBM Watson Health, joins us to talk about how machine learning, AI, and Watson are advancing healthcare initiatives. Learn how far the health industry has advanced, what the future holds for data and healthcare and Dr. Rhee's tips about sleep and AI.

Are you getting enough sleep? On this week's episode of Making Data Simple, Dr. Kyu Rhee, vice president and Chief Health Officer for IBM Watson Health, joins us to talk about how machine learning, AI, and Watson are advancing healthcare initiatives. Learn how far the health industry has advanced, what the future holds for data and healthcare and Dr. Rhee's tips about sleep and AI.