Colette Grail
What's the Big Data Idea - Big Data Solving Big Problems
Virginia Beach, Virginia, United States
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Colette Grail is a Big Data advocate and author of The Fallacy of Laying Flat - the Fuzzy, Hairy Truth about Data Decision Making. She authors work on emerging technology, data concepts, leadership, and inspiration. Her 25+ years in the US Navy include five major commands working policy, strategy and program management. She currently works for the Cybersecurity and Infrastructure Security Agency (CISA) leading strategy development for the Emergency Communications Division. Her mission is reporting on the opportunities and challenges of the Big Data world and how Big Data is solving Big Problems.
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What the World Needs Now (Besides Flying Cars)
What the World Needs Now (Besides Flying Cars)
Plenty of old tv shows, movies and even cartoons forecasted some of the tech that we have today. Although self-driving is coming into the mainstream, flying cars are . . . not so much (and considering the issues with self-driving, maybe that’s a good thing.)
But in a world of crazy amounts of data - googols of data in instantaneous feed with vibrance and texture - we need better data decision making tools.
We need fewer meetings, less email and better situational awareness.
That doesn’t look like better word documents or powerpoint slides or even dashboards.
We need data tools to use with the ease and ubiquity of Microsoft and Google documents but with the quantum leap, past dashboards, into (near) real time, visual, interactive models.
We understand what the commute to work looks like when we see it on our phone (if you’re not Work From Home). Wouldn’t it make sense to have that same instantaneous, rich visualization for business operations and organizations? Wouldn’t it make sense to look at an app that depicts work flows and income/expenses in a vivid, intuitive display? Something you could touch to manipulate source data, make queries point-blank and communicate direction simply and explicitly?
On the other hand, wouldn’t it be absurd if your phone provided a printout of the morning traffic forecast? What if it provided snapshots of what the traffic looked like yesterday to tell what it might look like today? A “dashboard” of the traffic would show what the trends have been and what are potential for today.
We need data condensed to see and assess in seconds that it gives contextual information.
We need to see data as a whole while being able to directly connect to the data sources.
We need to use the third and fourth dimension of data.
It should be as easy as . . . growing a virtual house plant.
What the World Needs Now (Besides Flying Cars)
What the World Needs Now (Besides Flying Cars)
Plenty of old tv shows, movies and even cartoons forecasted some of the tech that we have today. Although self-driving is coming into the mainstream, flying cars are . . . not so much (and considering the issues with self-driving, maybe that’s a good thing.)
But in a world of crazy amounts of data - googols of data in instantaneous feed with vibrance and texture - we need better data decision making tools.
We need fewer meetings, less email and better situational awareness.
That doesn’t look like better word documents or powerpoint slides or even dashboards.
We need data tools to use with the ease and ubiquity of Microsoft and Google documents but with the quantum leap, past dashboards, into (near) real time, visual, interactive models.
We understand what the commute to work looks like when we see it on our phone (if you’re not Work From Home). Wouldn’t it make sense to have that same instantaneous, rich visualization for business operations and organizations? Wouldn’t it make sense to look at an app that depicts work flows and income/expenses in a vivid, intuitive display? Something you could touch to manipulate source data, make queries point-blank and communicate direction simply and explicitly?
On the other hand, wouldn’t it be absurd if your phone provided a printout of the morning traffic forecast? What if it provided snapshots of what the traffic looked like yesterday to tell what it might look like today? A “dashboard” of the traffic would show what the trends have been and what are potential for today.
We need data condensed to see and assess in seconds that it gives contextual information.
We need to see data as a whole while being able to directly connect to the data sources.
We need to use the third and fourth dimension of data.
It should be as easy as . . . growing a virtual house plant.
What the World Needs Now (Besides Flying Cars)
WE haven’t gotten the flying cars (yet) that the past predicted (or promised) but we are living with an overaged legacy of data decision-making tools that don’t measure up to today's data-rich environment. Instead we rely on conventional meeting formats and email overload that only obscures situational awareness.
Data tools should offer real-time, visual, interactive models creatively tailored for business operations. Emphasizing intuitive displays and seamless manipulation of source data, the goal is to enable swift contextual assessment and direct connection to data sources. The envisioned tools would provide comprehensive insights that we currently expect from any app. You expect Maps to show you where you are in the middle of morning traffic, and not a word document or dashboard describing how many cars are there now, compared to yesterdays. Ultimately, the aim is for data decision making to be as effortless as . . . growing a virtual houseplant.
Navigating Complexity in Emergency Response: The Data Dilemma
In emergency response, time is crucial and situational awareness is key. The speed of gathering real-time information delivers life or death. The spectrum of response capability ranges from routine emergencies with standardized protocols to complex, escalating scenarios, challenging resource allocation and the experience of leadership. The nonlinear nature of emergencies, witnessed in events like 9/11 & COVID-19, requires both preparedness and adaptability. This session seeks to explore how data can maintain the routine in emergencies, addressing crisis avoidance and attenuation within the dynamic and complex landscape of emergency response.
From Data Points to Predictive Analytics: The Power and Pitfalls of Big Data in Healthcare
Big Data provides a quantum capability to paradigm shift in how patient health information is captured, stored, and utilized. This presentation delves into the transition from traditional pen-and-paper methods to electronic health records to the concept of a personal Digital Nervous System Health (Record). It's not a “record” because it uses continuous data both incoming and outgoing - both capturing information and sending it out. We explore how Big Data enhances the understanding of individual health within a broader context, offering personalized insights and improving predictive analytics. The session will also discuss strategies for improving data accuracy and ensuring privacy, emphasizing the critical role of digital health technologies in transforming medical record-keeping. Attendees will learn how harnessing the power of Big Data ensures accurate, reliable, and prescient potential for patient health and public safety.
Big Data offers a transformative capability in how patient health information is captured, stored, and utilized, marking a significant shift from traditional methods. This presentation explores the evolution from pen-and-paper record-keeping to electronic health records, culminating in the concept of a personal Digital Nervous System for Health (DNSH). Unlike a conventional record, the DNSH leverages continuous data flow, both incoming and outgoing, to dynamically capture and disseminate health information.
We will examine how Big Data enhances the understanding of individual health within a broader context, providing personalized insights and improving predictive analytics. The session will also address strategies for enhancing data accuracy and ensuring privacy, highlighting the crucial role of digital health technologies in revolutionizing medical record-keeping. Attendees will discover how harnessing the power of Big Data can lead to more accurate, reliable, and prescient tool for both patient health and public safety.
From Data Points to Predictive Analytics: creating your personal Digital Nervous System Health (Reco
Big Data provides a quantum capability to paradigm shift in how patient health information is captured, stored, and utilized. This presentation delves into the transition from traditional pen-and-paper methods to electronic health records to the concept of a personal Digital Nervous System Health (Record). It's not a “record” because it uses continuous data both incoming and outgoing - both capturing information and sending it out. We explore how Big Data enhances the understanding of individual health within a broader context, offering personalized insights and improving predictive analytics. The session will also discuss strategies for improving data accuracy and ensuring privacy, emphasizing the critical role of digital health technologies in transforming medical record-keeping. Attendees will learn how harnessing the power of Big Data ensures accurate, reliable, and prescient potential for patient health and public safety.
Big Data offers a transformative capability in how patient health information is captured, stored, and utilized, marking a significant shift from traditional methods. This presentation explores the evolution from pen-and-paper record-keeping to electronic health records, culminating in the concept of a personal Digital Nervous System for Health (DNSH). Unlike a conventional record, the DNSH leverages continuous data flow, both incoming and outgoing, to dynamically capture and disseminate health information.
We will examine how Big Data enhances the understanding of individual health within a broader context, providing personalized insights and improving predictive analytics. The session will also address strategies for enhancing data accuracy and ensuring privacy, highlighting the crucial role of digital health technologies in revolutionizing medical record-keeping. Attendees will discover how harnessing the power of Big Data can lead to more accurate, reliable, and prescient tool for both patient health and public safety.
What the World Needs Now (Besides Flying Cars)
What the World Needs Now (Besides Flying Cars)
Plenty of old tv shows, movies and even cartoons forecasted some of the tech that we have today. Although self-driving is coming into the mainstream, flying cars are . . . not so much (and considering the issues with self-driving, maybe that’s a good thing.)
But in a world of crazy amounts of data - googols of data in instantaneous feed with vibrance and texture - we need better data decision making tools.
We need fewer meetings, less email and better situational awareness.
That doesn’t look like better word documents or powerpoint slides or even dashboards.
We need data tools to use with the ease and ubiquity of Microsoft and Google documents but with a quantum leap.
The Flying Cars we need are creative, (near) real time, visual, interactive models.
We understand what the commute to work looks like when we see it on our phone (if you’re not Work From Home). Wouldn’t it make sense to have that same instantaneous, rich visualization for business operations and organizations? Wouldn’t it make sense to look at an app that depicts work flows and income/expenses in a vivid, intuitive display? Something you could touch to manipulate source data, make queries point-blank and communicate direction simply and explicitly?
On the other hand, wouldn’t it be absurd if your phone provided a printout of the morning traffic forecast? What if it provided a 5 page document describing what traffic has looked like for the past year? What if it provided snapshots of what the traffic looked like yesterday to tell what it might look like today? A “dashboard” of the traffic would show what the trends have been and what are potential for today.
We need data condensed to see and assess in seconds that it gives contextual information.
We need to see data as a whole being while being able to directly connect to the data sources.
We need to use the third and fourth dimension of data.
It should be as easy as . . . growing a virtual house plant. (and that's what I'll show you.)
Navigating Complexity in Emergency Response: The Data Dilemma
In emergency response, every second counts. Lives are on the line. Every bit of situational awareness translates to time and effectiveness for first responders to assess and respond to critical situations. Evolving technology for emergency response, like in many situations, leverages the ability to gather volumes of real-time information more rapidly through a variety of sources. That’s Big Data…and the Internet of Things (IoT)…and now the promise of AI.
Within the emergency response spectrum, a scholastic depiction positions one end as "routine" - emergencies manageable through standardized protocols. However, as emergencies escalate in scale and intertwine with multiple "routine" scenarios, the challenge becomes a matter of resource allocation and the true test of training and planning. The complexity intensifies further when confronted with a tipping point - the emergence of novel situations, as witnessed in events like 9/11 or the onset of the COVID-19 pandemic.
The linear representation of emergent emergencies, while conceptually convenient, oversimplifies the chaotic nature of these situations—a nuance appreciated by both those immersed in the world of data as well as the firefighter in a storm. The forces at play are not linear; they are very, very nonlinear - dynamic & complex. The unpredictability of novelty presents both opportunity for salvation and disaster, underscoring the critical role of preparedness and adaptability.
Let’s explore keeping the routine in emergency. How do we avoid or attenuate the crisis?
From Data Points to Predictive Analytics: creating your personal Digital Nervous System Health (Reco
Big Data provides a quantum capability to paradigm shift in how patient health information is captured, stored, and utilized. This presentation delves into the transition from traditional pen-and-paper methods to electronic health records to the concept of a personal Digital Nervous System Health (Record). It's not a “record” because it uses continuous data both incoming and outgoing - both capturing information and sending it out. We explore how Big Data enhances the understanding of individual health within a broader context, offering personalized insights and improving predictive analytics. The session will also discuss strategies for improving data accuracy and ensuring privacy, emphasizing the critical role of digital health technologies in transforming medical record-keeping. Attendees will learn how harnessing the power of Big Data ensures accurate, reliable, and prescient potential for patient health and public safety.
Big Data offers a transformative capability in how patient health information is captured, stored, and utilized, marking a significant shift from traditional methods. This presentation explores the evolution from pen-and-paper record-keeping to electronic health records, culminating in the concept of a personal Digital Nervous System for Health (DNSH). Unlike a conventional record, the DNSH leverages continuous data flow, both incoming and outgoing, to dynamically capture and disseminate health information.
We will examine how Big Data enhances the understanding of individual health within a broader context, providing personalized insights and improving predictive analytics. The session will also address strategies for enhancing data accuracy and ensuring privacy, highlighting the crucial role of digital health technologies in revolutionizing medical record-keeping. Attendees will discover how harnessing the power of Big Data can lead to more accurate, reliable, and prescient tool for both patient health and public safety.
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