Trending November 2023 # Microsoft Partnering With Truveta On Data Platform For Health Providers # Suggested December 2023 # Top 14 Popular

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REDMOND and SEATTLE, Wash. — Microsoft is entering a strategic partnership to apply its Azure cloud and artificial intelligence (AI) technologies to Truveta’s data platform for health providers.

The platform contains billions of health data points, and the partnership is intended to push Truveta’s vision to digitally “transform health around the world using real-world data and AI,” according to Microsoft last month.

Microsoft is also making a strategic investment in Truveta to “help accelerate how quickly the world can benefit from Truveta insights.” Truveta will become a Microsoft Cloud for Healthcare partner and strengthen Microsoft’s health offerings.

Securing and analyzing health data

Truveta is a platform for de-identified health data owned and governed by 17 health providers in the U.S., including Providence, Novant Health, and Trinity Health.

The platform will initially represent over 15 percent of all clinical care in the U.S., Microsoft said.

Under the partnership, Truveta selected Microsoft Azure as its exclusive cloud platform. Azure will help the company protect health data, manage compliance, and address regulatory changes.

Truveta will tap into Microsoft’s Azure cloud and AI portfolios to offer insights on data in the platform, such as medical records, images, and genomics. Data in the platform is refreshed daily and “continuously flowing.”

See more: Cloud Security Market

Scaling data platform for health providers

Microsoft and Truveta will work together to scale the platform globally, introduce customers to Truveta, and create opportunities for more health providers to become members.

Data contributed to the platform by members supports insights “for the common good of humanity.”

“Health care is generating more data than ever before, and there is an immediate need to leverage insights to improve patient care,” said Scott Guthrie, EVP, cloud and AI, Microsoft.

Terry Myerson, CEO of Truveta, said the company’s mission is to “enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care.”

“We’re grateful to Microsoft for their partnership and support,” Myerson said.

See more: Google Cloud Previewing Data Engine for Health Care

Health equity through data

Truveta’s member health providers care for tens of millions of people and operate thousands of care facilities in 40 states.

Clinical data from its health provider members represents “the full diversity of the U.S.” across geography, age, race, and gender, according to Microsoft.

As the Truveta platform receives more data from more member health providers, more diseases and drugs can be studied “in more precise situations — with data that is representative of our world’s demographics, race, and socioeconomic diversity.”

Truveta is also creating a learning community for health care, bringing researchers together to build on each other’s work, share their data-driven questions and answers, and “speed their time to insight.”

“The best care in the world is somewhere but not everywhere,” said Angela Yochem, EVP and chief transformation and digital officer, Novant Health, a data-contributing member of the platform.

“Patients with the same condition can have widely disparate outcomes.”

Yochem said the Truveta platform can “help address these inequities by building our collective understanding, leading to discovery and better care for all communities.”

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Snowflake And The Enterprise Data Platform

A new report entitled Data’s Evolution in the Cloud: The Lynchpin of Competitive Advantage explores executives’ attitude toward the essential – and challenging – process of data mining. Based on a survey conducted by The Economist and sponsored by Snowflake, the report details an industry in rapid flux, with big stakes and big challenges in current data analytics practice – focusing on the myriad innovations enabled by the cloud.

To provide insight into the the intersection of data analytics and cloud computing, I spoke with Kent Graziano, Chief Technical Evangelist, Snowflake.

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Watch the video:

Edited highlights from the conversation:

Snowflake is definitely getting a lot of buzz. Warren Buffet, of all people, bought into Snowflake pre-IPO.

Why is Snowflake so hot? It’s cloud native, but beyond that even.

The world’s changed so much with all of the data that’s out there, and companies need a way to innovate and be more agile. And what we’re seeing with our platform is that people are able to do that.

They can come in, they can start really, really small, and grow to massive size going into petabytes of data with no management overhead, really. It’s made it so much easier than when I started in the industry 30 years ago, where you had to pre-plan everything.

And you really had to know, where are we gonna go? What’s our three-year, five-year plan? How much data do we think we’re gonna have? How many users do we think we’re gonna have? We don’t have to do that anymore.

And that’s one of the things that I loved about Snowflake, because I came in, I was really a data architect, and a modeler and designer, and it’s like, “This is great, I can actually now work with the business, figure out what data do we really need, what kind of a model should it go into, and very quickly get that up and running without having to worry about, are we gonna have enough disk space?

Are we gonna have enough compute? How many users will we really have?” And I have to size for all that. I don’t have to do any of that with Snowflake, so that really allows me to accelerate the delivery of the value to the business.

You’re saying it’s in contrast to the old days where a large data mining or data analytics application would have been in-house, and that would have been far less scalable than Snowflake?

Yeah, yeah. The on-premises world by definition, you were constrained to a box. It’s a server. It’s got so many CPUs in it, and it’s got so much disk space when you initially buy it. And yes, you can plug… You could get to the point where we could plug in SANs and we could add more disk.

But you still had to plan for that, and then you had to go through a procurement process. I had times when I was building large data warehouses where we told the infrastructure team, “We’re gonna need 10 terabytes.” And they laughed at us and said, “No, you won’t.” And they got us two terabytes, and then three months later we were out of space. And then we had to wait six weeks to get more disk space.

And so that obviously, that slowed our ability to deliver to the business down because we just physically didn’t have the infrastructure. Snowflake, you add data in and it elastically just grows. You don’t have to pre-allocate it, it’s just there on demand, and I don’t have to be a DBA or a system administrator to do anything. I just load the data in and it’s automagically there.

What about the multi-cloud piece? Is it that it works with any of the clouds? And part two of that question is, the cloud providers themselves offer data applications, many of them. Why not just use the data application already offered by one of the hyperscalers?

To answer the first part of the question is, it works on AWS, Azure and GCP. So Snowflake is cloud-agnostic, so when you’re in Snowflake and you’re in the data cloud, you’re in the data cloud. And it doesn’t matter what the underpinnings are, and that is giving people the ability to do is build a true network of data that is location-independent and cloud-independent.

Does that mean the data actually exists there [in various places], or does the data exists in other places and is being virtualized by Snowflake, as a platform?

The data has a home in a particular physical location, and the Snowflake software is managing the… I don’t like the word replication, but replication, if you will, under the covers. So it’s not virtualization.

When we talked about virtualization software, we’re talking about, “Okay, the data is over here and we’re just… We’re looking over there.” And we still have to pull it somewhere, but with Snowflake, our global data mesh is allowing that data to be replicated seamlessly to where it needs to be, where you want it to be, so it’s localized.

So you’re not in London, querying data in Australia. Though, it looks like that is what you’re doing. The data originated in Australia, but you don’t have to care now, and this is like the beauty of the cloud is you don’t have to care where the hardware is, where the data is, and then when you throw Snowflakes data cloud on top of it, now you really don’t need to care, right? That it’s handling all of that for you.

Fascinating. To wrap things up, I’d love to get your sense of the future and the future of the enterprise data platform. Maybe even more interesting, the future evolution of Snowflake. And as you answer, I’m gonna be listening to hear you say the words Artificial Intelligence.

Yeah, so I really see the future of data platforms is obviously, it’s the cloud, but it’s going way beyond what we traditionally thought of of just your basic analytics and dashboards. It is growing into that world of machine learning and artificial intelligence as the source for all that information. And one of the things we’ve learned about machine learning is the more data you have, the more accurate the results are going to be.

And now we have that ability to scale to multiple petabytes in the data cloud. So you have so much more data available to start feeding machine learning and AI types of applications and making it easy through the sharing aspects – through the network of the data – to be able to take that data and get your third party and your partner data and incorporate that all into the data. That your organization then creates themselves and can massage that, do your algorithms and projections off that. And perhaps produce a data product that others don’t have and then share that right back. And it becomes a virtuous cycle.

We’re really evolving into basically the world-wide web of data, so where you’re gonna be able to find the data you need to do the job you need to do, and to make the predictions and forecasts, and work with your customers and provide better customer service and provide more value to your stakeholders,

And to me that’s way beyond. It is probably the vision that we had 20 years ago, 30 years ago, but it took a lot of work to really make that happen, and only the largest organizations could ever afford to do it.

Now smaller organizations can do it because of the power that we have with the data cloud in particular. We’re talking about the cloud, the sky is the limit, right?

And to make it a more performant experience as the volumes of data grow and grow. I wrote about this a couple of years ago, like, “When you have all of this data available and you know how it’s being used, then it’s just a matter of time before we can be even more predictive about what data do you need, what data…[and] how are you gonna use it?

Our search optimization feature that just came out is another really smart way of being able to query the data to get the performance that you need, again – reduce that time to value even more.

So in essence, the data becomes far faster, far more flexible to shape and imagine and mold as an individual sees fit, and at the same time is also democratized for smaller players to get on board.

Exactly, that’s exactly right. Yes.

New Iot Platform Puts Customer Data Front And Center

The retail world is only just awakening to the potential of the Internet of Things, or IoT. With new interconnectedness among a variety of devices, customer data is coming to the fore in a new light. Connected devices can help retailers identify shoppers’ preferences and habits to create a more compelling in-store experience, and can drive inventory data management, enabling supervisors to take a more data-centric approach to salesforce deployment on the floor.

Creating a Data-driven Experience

The emerging role of data in the retail space has the ability to create a seamless omnichannel experience for consumers from the time they walk into a store until after their payment is completed. Here’s an example of what the customer journey looks like in a data-driven, IoT-empowered retail environment.

Customer service: An online customer puts a pair of boots in their shopping cart, or purchases them for in-store pickup. When they enter the store with the retailer’s app enabled on their phone, a proximity-driven beacon recognizes the customer and notes their pending purchase.

Employee engagement: Data from the customer’s shopping cart is then conveyed via a wearable device to a retail associate, who approaches the customer with information about their desired item, saving employees time and increasing customer satisfaction.

Smart merchandising: In addition to the employee-guided experience, customer data can also drive smart merchandising through IoT devices that pick up on past shopping patterns, identify items of potential interest and highlight these based on customer proximity.

Traffic patterns and promotion effectiveness: Sensors can identify how many people enter a store and create “heat” maps to better understand shopping patterns, provide hard data on the impact of new displays and allow changes to be made on the fly.

Rapid mobile payment: Using mobile payment data, a store associate can scan merchandise into a smartphone and complete the transaction using NFC-based payment. The customer and associate could, for instance, simply tap their smartphones and use Samsung Pay to complete the sale.

Back office efficiency: Once the transaction is completed via phone, POS tablet or through in-store touch screen device, these connected devices communicate with back office systems, where inventory data is adjusted in real time, ensuring manager records are current.

Creating the Retail Experience of the Future

White Paper

Read this white paper to learn how IoT can help you close the gaps in omnichannel retail. Download Now

Driving IoT Data

Samsung ARTIK is an end-to-end platform that unifies hardware, software, cloud, security and partner ecosystems to make it easier for retailers to implement IoT solutions. ARTIK Modules are ready to integrate into small or large-scale “things,” creating smart, connected devices from door locks and in-store sensors to big, connected and immersive displays.

ARTIK Cloud taps the power of the cloud to enable retailers to maximize the value of IoT data. The cloud platform facilitates easy interconnections between data sources. Devices like sensors, POS equipment, smartphones, or smart signage can be linked via open web APIs, making it possible to connect and share data securely and generate new insights into store operation and customer behavior. ARTIK can connect existing clouds or create a data exchange platform from scratch to fill a specific need.

The rise of connected devices is poised to unleash an avalanche of valuable customer data in the retail arena, giving sellers unprecedented opportunity to customize their offerings while simultaneously gaining new insights into their own operations. With powerful modules, ready cloud connectivity and an ecosystem of designers and manufacturing partners, Samsung ARTIK can help retailers realize that untapped potential.

To draw in new customers, many stores are turning toward experiential retail, which relies on technology like mirror displays and digital signage to attract shoppers.

Techtarget Named A Leader In B2B Intent Data Providers Report By Independent Research Firm

TechTarget, Inc. (Nasdaq: TTGT), the global leader in B2B technology purchase intent data and services today announced that it has been named a Leader in the Forrester Research, Inc. May 2023 report: The Forrester Wave™: B2B Intent Data Providers, Q2 2023. The report evaluated fourteen vendors across 26 criteria, grouped into the categories of Current Offering, Strategy, and Market Presence. The report also covers considerations for vendor selection.

TechTarget received the highest possible scores in 11 criteria, among them: Vision; Innovation; Uniqueness of proprietary data; Data granularity; Buying group identification; Compliant data collection; Customer marketing, retention, cross-sell, and upsell; and four more.

According to the report, “TechTarget’s ability to deliver opt-in contact-level intent, which is nearly unique in the market, differentiates its product offering.” Further, it stated that, “At the same time, [TechTarget] offers significant activation capabilities more commonly found in ABM platforms or campaign execution firms.” In addition, the Forrester report noted, “Reference customers raved about the customer service and support from TechTarget, highlighting this factor more consistently than references did any other provider in the evaluation.”

“We are extremely pleased to be recognized as a Leader in Forrester’s inaugural Wave for B2B Intent Data Providers,” said Michael Cotoia, CEO of TechTarget. “Clients leverage our unique and powerful Prospect-Level IntentTM and comprehensive capabilities to deliver optimum success across their go-to-markets. We believe this recognition validates the significant investments we make in our proprietary data and our commitment to delivering world class solutions for our customers.”

TechTarget has more than 3,000 B2B technology customers representing close to $300 million in annual revenue and achieved this recognition on the strength of its suite of data-driven solutions for B2B marketing and sales teams powered by Priority EngineTM — a SaaS-based purchase intent insight platform that provides direct, real-time access to ranked accounts and named prospects actively researching purchases in specific technology categories.

TechTarget’s proprietary purchase intent data is uniquely powerful because of how it is made and how it is delivered to B2B tech marketers and sales professionals. The actionable insights within the Priority Engine platform are available because of the depth of original decision-support content spanning thousands of unique IT topics across TechTarget’s network of 150 enterprise technology-specific websites. Because our content is built to aid decision making during buyer’s journeys, our data enables clients to precisely target the right people in active buying centers in the most relevant context possible.

For more information on why Forrester recognized TechTarget as a leader among top providers, download a complimentary copy of the full The Forrester Wave™: B2B Intent Data Providers, Q2 2023 report.

About TechTarget

TechTarget (Nasdaq: TTGT) is the global leader in purchase intent-driven marketing and sales services that deliver business impact for enterprise technology companies. By creating abundant, high-quality editorial content across 150 highly targeted technology-specific websites and more than 1,000 channels, TechTarget attracts and nurtures communities of technology buyers researching their companies’ information technology needs. By understanding these buyers’ content consumption behaviors, TechTarget creates the purchase intent insights that fuel efficient and effective marketing and sales activities for clients around the world.

TechTarget has offices in Boston, London, Munich, New York, Paris, Singapore and Sydney. For more information, visit chúng tôi and follow us on LinkedIn.

(C) 2023 TechTarget, Inc. All rights reserved. TechTarget and the TechTarget logo are registered trademarks and Priority Engine and Prospect-Level Intent are trademarks of TechTarget. All other trademarks are the property of their respective owners.

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Case Study: Microsoft Turns To Survey Specialist For Msn Data Tool

When Microsoft decided last year to systematically survey users of all the sites within MSN, the world’s second-largest Web network behind AOL Time Warner’s, the company had an instinctive reaction — let’s develop the survey software in-house.

For starters, Microsoft had already built a simple survey tool that it used for internal research, housed inside its own firewall. And it’s not likely to find a deeper pool of programmers than within its own Redmond, Wash., complex walls.

AT A GLANCE: Microsoft

The company: The software giant is a major Internet force and operates MSN, the second-largest network of Internet sites in the world, with 6.5 million subscribers and 250 million unique global visitors.

The problem: The need for a customizable survey tool to get feedback from visitors to dozens of different Web sites in multiple languages spread across 33 countries.

The solution: Web-based survey software from Perseus Development Corp., which Microsoft uses to conduct about 50 surveys each month, with each generating from 2,500 to 5,000 responses.

But after considering the problem of creating surveys for thousands of visitors to dozens of Web sites in multiple languages in 33 countries, and tying all the results together in one database with a simple reporting tool, Microsoft backed away.

“It would have required creating a separate product unit just for survey tool creation, then update the program on an ongoing basis,” said Deepak Agrawal, research lead for the company’s MSN group. “Someone has to own a project like that, and there was no logical place to put it inside Microsoft. We’re not in the research business. So we decided to go outside.”

After considering four or five candidates, MSN settled on Perseus Development Corp. Perseus got its start in 1994 with software designed to allow Mom and Pop stores to create their own questionnaires quickly, in Microsoft Word word-processing documents, and then add the results to a database for easy analysis.

Easily Imported Into SQL Database

In 1997 Perseus Web-enabled the program, allowing Web site owners to create user surveys with a product called SurveySolutions. The program is compatible with Microsoft Office software, meaning tools, menus, and shortcut keys are similar to those used with Excel, PowerPoint, and other Office programs. That made it easy for Perseus users familiar with Office to design surveys.

As a bonus, it made Perseus more attractive when the Redmond giant itself came calling. Not only was the company’s survey-creation software compatible, but responses could be easily imported into an SQL database server on Microsoft’s back end. (The fact that a recent version of SurveySolutions last year won a PC Magazine award didn’t hurt, either.)

MSN does about 50 surveys a month, each generating between 2,500 and 5,000 responses. The network wanted to find out more about its visitors for the same reasons most Web businesses do — to get feedback allowing the company to make the sites more appealing, thus generating more repeat visits and revenue. The surveys are mostly generic, asking visitors about their levels of satisfaction, what they like and dislike about the sites, and general demographic info. Virtually all of the surveys are anonymous; because MSN almost never runs contests or giveaways to attract poll-takers, it collects no personal data such as names or addresses.

Agrawal says MSN, which signed its contract with Perseus in June 2000 and began publishing surveys in October, has consistently found that 10 percent of people who see the pop-up window respond — about the mid-point of what it expected, and somewhat above typical online survey response rates (especially good considering that MSN offers no incentives).

Functionality That’s Not ‘Out Of The Box’

Perseus provides what Agrawal said was “a lot of day-to-day technical support and administration,” including customization of a secure, password-accessed Web portal in which the MSN employees can communicate. MSN workers can view the data over the Internet just as they would if the data were housed in their desktops — a function Perseus says is unique among online survey providers.

Perseus staff also help MSN set up more complex surveys, such as those carried out in 22 countries in multiple languages, with the data compiled in separate tables depending on which site the respondent was visiting.

“They provide a lot of functionality that’s not out of the box,” Agrawal said, noting among other things Perseus’ ability to handle many languages. “The other survey companies we looked at had a more canned, pre-determined approach. They were easier to use and learn, maybe, but they were much more restrictive and didn’t provide much freedom to create custom surveys. We knew we’d outgrow them. That’s not the case” with Perseus.

Agrawal declined to say how much MSN has paid for the service, saying the total of its 3-year contract will be less than $250,000. Most other survey companies planned to charge differently, typically between $1,000 and $1,500 per survey. If MSN does 50 surveys each month, a $1,000 per-survey cost would have totaled $1.8 million over three years.

Agrawal says it took almost six months before the Perseus software was deployed, a fact he described as “not desirable. We had problems both at our end and at their end. Perseus is a small company, and they were only too happy not to be pushed. As is true of anyone, if you don’t ask for something, you don’t get it. Once we found someone at our end” — Agrawal himself — “to start pushing, they proved very responsive. Overall, they’ve provided very good response.”

One year in, it’s too early for MSN to decide whether to renew its 3-year contract. Agrawal says, “We’re on the path to invest a lot of time and effort into this. We hope it will prove cost effective. The system is continually evolving, and they’ve helped us work out the bugs. Overall, we’ve been quite happy.”

What Is A Customer Data Platform And What Is Use It?

A Customer Data Platform, also known as AI HTML3_, is a piece of HTML3_ programming HTML3_ that combines information from different apparatuses.

What is a Customer Data Platform (CDP)?

A Customer Data Platform (CDP), a piece of AI programming, is an AI program that blends data from different apparatuses to create a single concentrated client data set. It contains information on all touchpoints and associations with your administration or item. The CDP data protection database can be divided in a variety of ways. This allows for more targeted showcasing efforts and data protection.

Understanding what CDP programming does, the most effective way to make sense of this is as a visual demonstration. Say an organization is attempting to get a superior comprehension of their clients. The CDP will be used to collect information from social media platforms such as Facebook and email. The CDP will collect the data, then combine it into a client profile that can be used for other purposes, such as the Facebook promotions stage.

This cycle allows the organization to use division to better understand its audience and to make more targeted showcasing efforts. The organization could undoubtedly make a publicizing crowd in light of every individual who has visited a particular page on their site and furthermore the organization’s live talk include. Or on the other hand, they could rapidly fragment and view information on location guests who’ve deserted their trucks.

This is one way Drift can customize its showcasing efforts. Segment’s Personas are used to help with three tasks.

Personality goal – To unify client history across all gadgets and channels, into one client view for each client.

Quality and crowd-building – Synthesizes data into crowds and attributes for each client, including clients who have expressed expectations. This coordinates with generally speaking record movements.

Actuation- This pushes their client to different instruments in their stack in order to coordinate custom, continuous outbound information.

How to Use a Customer Data Platform?

1. Online to Offline Connection

Combine offline and online activities to build a customer profile. When customers enter a brick-and-mortar store, you can identify them from their online activities.

2. Customer Segmentation & Personalization

3. Predictive Customer Scoring

Enhance your customer profiles by using predictive data (probability to purchase, churn and visit, email open).

4. Smart Behavioral Retargeting & Looking Alike Advertising