Podcasts

Talking Data: AI advances and the MIT Startup Exchange

The Talking Data podcast team discusses some of the MIT startups that are making advances in AI and natural language processing.
Newest AI technology set to disrupt tech sector, job markets

Emerging AI technology will lead to the creation of influential new software companies and disrupt job markets, says a Goldman Sachs researcher -- predictions that are discussed here.

Talking Data: Is there a difference between AI and analytics?

Any AI definition should include things like predictive analytics, according to some users, even though those practices are straightforward and have been around for decades.
Tableau targets data preparation software with Project Maestro

As Tableau and other high-level applications look to automate more functionality, stand-alone data preparation tools have to evolve to stay relevant in the analytics ecosystem.
Talking Data: How to make data science and analytics pay

Businesses are still looking for ways to unleash the full benefits of data science and analytics. This podcast looks at ways some companies are finding success.
Inside consumer tech companies' push for enterprise business analytics

Cloud computing trends are pushing consumer tech companies like Amazon and Google to market enterprise analytics software. This podcast examines those trends.
How enterprises can find the right deep learning use cases

The world's top tech companies are currently the biggest users of deep learning applications, but more typical enterprises may be able to get in the game, as well.
Deep learning techniques carry business burdens

The questions surrounding deep learning techniques used to be related to use cases, but more and more businesses are seeing operational hurdles to their adoption.
How data science and AI can coexist in enterprises

To get the most value from investments in advanced analytics techniques, like artificial intelligence and data science, businesses must embrace a specific mindset.
Data science and analytics methods must balance innovation, value

In this episode of the Talking Data podcast, find out how data science teams at Cisco and LinkedIn navigate the process of doing advanced analytics work in an accessible way.
Researchers work on AI algorithms to detect fake news

A new challenge to identify fake news will test the boundaries of AI technology and offer a proving ground for innovative new approaches to the technology.
Advanced analytics techniques, tools came to the fore in 2016

This year saw huge hype around advanced analytics tools like AI and machine learning. This podcast recaps everything businesses need to know about this year's top analytics trends.
Cognitive computing platform users explain how to get it right

In this podcast, we recap some of the advice from early adopters of IBM's cognitive computing system shared at the World of Watson conference in Las Vegas.
Artificial intelligence tools may be for real this time

We've seen AI technology get hyped in the past much like we're seeing today. But there may be reasons to believe that AI is for real this time around.
The data engineer is one of the most important jobs in big data

The data engineer job description is not always the most clearly defined, but it plays a critical role in enterprises' ability to get insights out of their data.
Report highlights business analytics software investment failures

Despite spending heavily over the last few years, many businesses struggle to realize a return on their investment in business analytics infrastructure.
Spark Summit 2016 highlights maturity of the Spark platform

In this edition of Talking Data, we recap the Spark Summit, including critiques of the Spark streaming engine and where the open source data processing ecosystem goes from here.
Deep learning applications could have big impact on big data

Unleashing deep learning algorithms on sets of big data can help organizations analyze text, images, videos and other forms of unstructured data. Learn why in this Talking Data podcast.
AI development heats up, fueled by big data

AI software has been around for decades, but it's getting renewed life now, thanks in large part to the growth of big data and cloud software offerings.
Documentary examines benefits of big data

Use of big data among businesses continues to accelerate, and a new documentary looking at the benefits of this trend has drawn a mixture of praise and criticism.
What is the reality behind IoT big data applications?

There's no shortage of hype surrounding IoT data analytics and how it might benefit businesses, but organizations need to know if tools for analyzing data from the Internet of Things are right for them.
New methods of analyzing data hold key to higher ROI in 2016

In this podcast, we talk with a Capgemini consultant to see what he expects from 2016 on analytics trends and how he thinks emerging methods of data analysis will affect user organizations.
Healthcare to ramp up data analysis software adoption

Healthcare providers have been relatively slow to adopt analytics technologies, but a few broader trends could soon reverse that. Listen to this podcast to hear what's happening and why.
Programming contest taps analytics to mark endangered whales

This episode of the 'Talking Data' podcast discussed how machine learning is being applied to whale identification as part of a programming contest.
Spark analytics libraries draw in data scientists

In this podcast, find out why Apache Spark isn't just for data engineers anymore. Data scientists are finding the Spark big data framework useful for analytics activities.
How data analysis techniques power the sharing economy

Sharing-economy companies like Uber and Airbnb may come to typify the future of business. But they couldn't operate successfully without effective data analysis techniques.
Cloud versions of Apache Spark offer simplicity

Spark Summit 2015 brought announcements that data scientists and other users will soon have two cloud-hosted options to run the big data framework. This podcast takes a deeper look.
Data-driven management processes need careful driving

Businesses are increasingly putting data and analytics at the center of their management practices. That can lead to better decisions and efficiency gains, but also cultural clashes.
More to think about on big data ethics than data privacy

This edition of the Talking Data podcast looks at how businesses doing big data analytics can apply ethical codes to help ensure that they're good stewards of their customers' data.
Cloud data management systems, sports analytics heat up

In this edition of Talking Data, we discuss why businesses are looking to cloud-based data management systems and how analytics is reshaping sports media.
Talking Data podcast: Predictive modeling techniques

Predictive modeling is more than a math problem. This Talking Data podcast looks at it from the business and technology perspectives.
Changes on the horizon for big data analytics tools

The market for big data analytics tools remains fragmented, but users are expecting consolidation in the near future.
SAS users eye marketing data analysis, changing big data landscape

The need to understand customers more deeply is driving an increased focus on marketing analytics, according to attendees at a SAS conference.
Making mobile BI applications a reality: Key steps to take

In a podcast, BI expert William McKnight discusses best practices and action items for managing deployments of mobile business intelligence tools.
For some companies, big data analytics is the norm

In this podcast, listen to Tagged.com's co-founder and CTO talk about the company's successes and struggles with big data analytics.
Dresner mobile BI survey reveals interest, trepidation

Security risks and form factor limitations top the list of concerns around mobile business intelligence, according to a new survey by Howard Dresner.
How to improve business intelligence performance with BI automation

Get tips on how to improve business intelligence performance with the help of BI automation. You’ll learn about the value of BI automation, potential roadblocks and more.
BI project management tips for implementation success

Get business intelligence (BI) project management tips to help ensure a successful implementation. Learn how to gather user requirements, prevent scope creep, overcome common PM challenges and more.
Howard Dresner predicts the future of business intelligence

Howard Dresner lends his take on the business intelligence market from the floor of the Gartner Business Intelligence Summit in Chicago.
Content intelligence: Content management meets business intelligence

In this podcast, Gerry Brown of Bloor Research explains "content intelligence" -- a combination of business intelligence and content management that helps companies leverage unstructured data.
HP's business intelligence and data warehouse plans: A data discussion with HP BI VP Ben Barnes

Listen to a podcast with HP vice president, Ben Barnes discussing Hewlett-Packard's business intelligence strategy and HP Neoview data warehouse.

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'Big data' analytics 101: Practical advice on getting started

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