Dive With Data

Asha Saxena explores using AI and machine learning to help new business owners achieve their goals with Manoj Madhusudanan, founder of the AI driven B2B sales targeting platform Ziligence.

In this episode, we go into the different ways data helps drive the results companies are looking for. Many entrepreneurs have little knowledge of different data tools on the market to use in shaping different aspects of their company.

AI and machine learning developments progress at a rapid pace. We go over the different ways new businesses could benefit by adapting at least some of their core processes to work with this technology.

• What Manoj learned during his formative years as a consultant for the firm Accenture and watching the how data analytics began driving process automation
• How Manoj recognized the opportunities data analysis and machine learning could provide to business owners during her time as a consultant
• Having the confidence to leap into something new and embrace still-emerging technology
• Navigating the gaps between the expectation of AI and the limitations of AI products currently on the market
• The way AI and machine learning continues to rapidly advance in a very short time period and the importance of developers sharing what they've learned
• Manoj's admiration for Google's dedication to pushing for advancements in the world of machine learning
• How AI already impacts many tools used today to make business connections like LinkedIn or Facebook
• Manoj's belief that people at all levels of business need to have some basic understanding of AI
• Learning to take AI and machine learning capabilities into consideration when building out a new business venture
• The importance of applying the right technology to different business processes and making sure it fits a specific business case

• LinkedIn: www.linkedin.com/in/manojmadhusudanan

Asha Saxena explores cyber security and the future of Big Data with venture capitalist Ray Rothrock.

In this episode, we'll talk about how Big Data is impacting cyber security and how businesses can overcome the common challenges associated with Big Data, from keeping sensitive information to finding the right talent to process and analyze the data. Without a doubt, Big Data is here to stay, which is why all businesses should focus on learning how to effectively use it.

• How businesses can effectively use the large amount of data they're collecting
• How Big Data is introducing new possibilities when it comes to analytics and also giving cyber criminals more opportunities to access large amounts of sensitive and personal information
• How businesses can overcome common challenges when it comes to Big Data, such as protecting personal and sensitive information, establishing data rights and ownership, and not having the talent to analyze the data
• How the federal government should play a role in protecting data in the United States by enacting new policies
• The debate over whether the United States federal government should have a cyber army to protect data
• How the United States is falling behind due to the lack of cyber capability and a cyber military academy
• How Big Data businesses need to consider collaboration with other industry peers to ensure the security of sensitive data
• The importance of securing open source software like Hadoop
• The importance of maintaining and monitoring audit logs across all facets of a business
• How Big Data presents enormous opportunities for businesses that go beyond just enchanted business intelligence
• How cyber attacks are automated and tend to hit small companies the hardest
• How Israel has become a key leader in the cyber security industry

• Twitter: @rayrothrock

Asha Saxena discusses the important topic of building business value using data as a core element with Doug Schmidt, a Chief Information Officer, Chief Technology Officer, and an entrepreneur.

In this episode, we ask a very important question: can we lead with innovation using data strategy to drive business strategy?

Company leaders put a lot of emphasis on business strategy and not enough on data strategy. Even when leaders track key metrics, they often measure the wrong ones when they lag data strategy behind their decisions.

How can we use data to drive the culture of our businesses? Listen in to find out how.

• Using business strategy to show you where to start and which route you should take to the destination
• How mistakes often occur because businesses are operating within a culture that is not driven by data
• How successful people in the business world tend to focus more on the results rather than the process and methodology and how focusing too much on the results can hinder one's ability to deliver on the expectations they set for themselves
• The stigma that technology and those who work in this industry have of not being collaborative and not understanding how a business truly works
• Why technology is playing a greater and greater role in businesses with each passing year
• How technology has essentially depreciated, and in some cases, eradicated the world's oldest businesses
• The ways technology has changed how we consume media and how companies are targeting audiences for advertising

• Twitter: @bigdougschmidt

Asha Saxena discusses the importance of healthcare leader cohesion with Chief Data Officer at John Hopkins Healthcare, Nick Minale.

In this episode, we explore the emergence of coordinated, mutually aligned partnerships created to maintain constant healthcare for the entire population. From the care continuum of care data to the role of facility standardization, the episode will pinpoint the uses—and risks—of our ever-growing information world.

Data, today, drives everything. Let us equip you with the modern knowledge you need to understand the healthcare world's newest opportunities—as everything from AI to data governance suites are changing the way providers conduct business.

• How consolidation has become a new healthcare provider goal, inspiring today's leaders to unite with big-name providers in order to strategize cost-effective solutions
• How John Hopkins Healthcare is bringing its community together, facing the new world of healthcare by promoting partnership opportunities and reducing customer costs
• The growing need for data in the healthcare world and why the industry's future, experts believe, relies on advanced analytics to deliver the right plan to the right people—and at the right time
• The roll of data privacy as the healthcare industry grows to offer custom-tailored treatments
• How leaders like Nick Minale discern valuable data from numerous sources, understanding which "crown jewels" of information could redefine the population's health
• How device data is selected, powering electronic medical records with astounding detail about patient lifestyles
• How the smartphone, itself, has changed the healthcare world
• The evolution of AI with respect to healthcare systems, as well as the ways today's healthcare companies are using data governance to achieve new goals
• The power of predictive analytics, as well as its ability to "clean up" data—making it more accessible to healthcare providers
• What makes a "master data" toolset, ranging across organizational architecture, determining data relevancy and staying adaptive in our ever-evolving technology world
• How data not only increases organizational quality, but also the quality of life for patients

• LinkedIn: www.linkedin.com/in/nickminale
• Website: www.hopkinsmedicine.org

Asha Saxena explores big data and how companies can use it to their benefit with Dun & Bradstreet's Senior Vice President and Chief Data Scientist, Dr. Anthony Scriffignano.

In this episode, we uncover the fears that so many people and companies share with regard to big data. In our culture, we value privacy, and people feel as though with big data, nothing is sacred anymore, nothing is private anymore. Dr. Anthony Scriffignano explores this notion and provides insight into how big data is not scary but useful if curated to be used strategically.

Big data is here to stay. Businesses are using it, and if you don't start using it in a meaningful way, you could be left behind.

• What it means to organize big data so that it is highly dynamic data, which can provide the clearest, fullest view of any given company on earth
• An understanding that there are many different perspectives and different interpretations of artificial intelligence and that it is not easily lumped under one definition
• What it means to be human versus what it means to be a robot and how far we have come in today's society and yet still have so far to go
• What it means to not be scared of science, why that's important, and why — though you should not fear it — you should be cautious of it
• A discussion on reason and how humans understand the "why" of what they do but robots or artificial intelligence does not understand the "why" component, which is a very important component of learning and growing intellectually
• A discussion of our conscious selves and how this process is present and absent in artificial intelligence
• The meaning of privacy and regulation, big data's role in these things, and how it is changing the world we know
• Why some of what we fear — that our privacy or everything we do is discoverable — is relevant and reasonable but it does not mean that it is a bad thing because data can change the way we do things for the better
• Why the cost of doing nothing is not something without a cost any more (and why doing nothing can actually turn into something costly)
• Why action matters today and why you must act on the data you have to perform better and be better
• Overall, how technologies continue to advance and evolve, how the evolution is changing the world, and how we can use it for positive purposes

• Twitter: @Scriffignano1
• LinkedIn: www.linkedin.com/in/anthony-scriffignano-ph-d-9165845

Asha Saxena examines transitions in how the healthcare industry manages and uses data during her conversation with Richard Cramer, the chief healthcare strategist at Informatica. Richard offers his perspective on changes in how healthcare providers gather and analyze data, as well as trends we should expect in the future.

This data disruption in healthcare will continue in dramatic fashion, allowing us to improve delivery of services at lower costs.

Join us as we discuss how this disruption will occur and what type of players will lead the disruption.

• How the healthcare industry has evolved during the past 25 years from a state of not having the necessary data or cultural readiness for using it to an environment in which we have the data and can now combine cost, quality, and efficiency
• Why many organizations need not worry about dragging a burdensome "data boat anchor" as they change
• Ways that machine learning and AI can assume much of the administrative burden by automating routine processes for doctors, nurses, and other clinical staff
• How coordinated care will use predictive modeling in ways that go beyond patient identification and risk cohorts to get to a deeper individualized level
• Ways that electronic data promotes an environment that allows us to move away from Byzantine rules of the past toward a consumer-based market where we can go where we want and select services we want
• Reasons that new players such as Amazon and Chase have come into healthcare, as well as the way that firms like CVS have started to redefine their role
• What healthcare professionals can do to innovate their operations with their ability to access and understand clinical data, consumer data, and patient experience data
• How data management is no longer relegated to a back room by techies and instead becomes better understood throughout the organization
• Why consumerism is the future as consumers feel empowered to make their healthcare decisions that involve lower cost care settings than traditional hospitals
• How we should expect a revolution in the use and management of electronic health records as we better understand the value of the data within them

• Email: [email protected]
• Phone: 732-887-0980

Asha Saxena speaks with Ari Caroline and Issac Wagner about their progress with artificial intelligence and big data in clinical trials at the Memorial Sloan Kettering Cancer Center.

In this episode, the role of big data and artificial intelligence and its impact on cancer patients who participate in clinical trials is discussed candidly and pragmatically. Big data and artificial intelligence are changing the way we think about healthcare and altering the way it is applied to patients. With big data and artificial intelligence, healthcare will never be the same again. These things are transforming healthcare into a more meaningful and custom approach to personal care.

Though this discussion is specific to oncology clinical trials, it nonetheless provides an overview of innovative ways healthcare is changing to improve and accommodate patients' health issues and experiences in the healthcare system. In this podcast, you will hear all you need to know about advancements and limitations of big data and artificial intelligence and their impact on healthcare.

• How big data is informing and advancing the technology behind oncology clinical trials
• What machine learning is and how it is used to be more proactive in healthcare
• What it means to reuse big data to learn more about the patient and inform future personalized care
• How using technology and a patient's data will change the way care is delivered
• What's needed in healthcare today to get the clinical information needed to promote better care
• How data has informed the operational side of healthcare to improve communication and doctor visits
• What are predictive and prescriptive models and artificial intelligence's role in these models
• What the tools are that we need to advance artificial intelligence to perform better, specifically to perform better in pathology and radiology
• Are we in a position yet where computers will take over the role of doctors?
• Why data organization and management is so important

• Email: [email protected]
• Phone: 732-887-0980

• Twitter: @aricaroline
• Website: Memorial Sloan Kettering Cancer Center

Asha Saxena takes a deep look at what data privacy and ethics means in the world of healthcare with Darrell Walter of Penn State Health.

Data privacy and ethics in healthcare is a big deal, because it affects all of us on at least some level. From health insurance premiums, healthcare access, employment, and even on a personal level of not wanting all our personal health information being made available to anyone who wants it.

So why is this worth a discussion? We have data protection laws, right? Well, this is where we step into a gray world. Big data in healthcare raises ethical issues because the data is used without a patient's consent.

Medical records are governed by rules to protect privacy so most health data can be stripped of identifying information like your age or your lifestyle habits. However, it could cross into an ethical gray area if patient privacy is compromised.

Meanwhile, the federal government has opened an immense store of healthcare knowledge including data from clinical trials and information on patients covered under public insurance programs.

And finally, patients are generating and sharing their own data through smartphone apps and online patient communities and many of these programs and communities lack strong data protection.

It's a little scary, but there are also some huge benefits that come along with the use of this data. Darrell Walters helps us explore these benefits from identifying rare cancers to truly personalized healthcare. Let's get started with this episode of Dive With Data!

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• What are the risks and opportunities that sharing our healthcare data affords us?
• How big data has helped Penn State Health reduce sepsis mortality by 25 percent.
• The ethical questions of healthcare data and clinics advertising to patients based on that data.
• Should healthcare data gathering include our social posting to understand our lifestyle habits better?
• The difference between being application centric vs data centric as an organization.
• What is data governance and why does it matter?
• Why implementing common data models is important for more than just one organization.
• What drives the location and types of services health networks provide in an area.

• Email: [email protected]
• Phone: 732-887-0980

Asha Saxena explores telemedicine and the future of healthcare with NewYork-Presbyterian CIO, Daniel Barchi.

In this episode we explore what telemedicine is, how big data is impacting healthcare and how virtualization of healthcare is transforming the industry from the ground up. Everything from access to physicians, reduced costs and improved health outcomes.

Healthcare is changing at an astounding rate and what you know today will be out of date before you know it. Let us provide you with a framework for understanding telemedicine and its impact on healthcare and patients alike.

What you will learn about in this episode:

• What is telemedicine, and why does it matter to patients?
• How healthcare is balancing the needs of protecting patient data while addressing the need to share information more than ever.
• The roll AI is starting to play in the lives of physicians, and patients from diagnosis to research.
• How healthcare is changing the paradigm of needing physical locations for healthcare solutions using telehealth.
• What happens when big players decided to step into the healthcare industry from outside the industry.
• Where is the line between AI and physician decision making and responsibility?
• What is the healthcare industry doing to tackle data security, and who owns that health data?
• How hospitals are creating a true continuum of care from first visit through post care.

Ways to contact Asha Saxena:

Email: [email protected]