With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective.
Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care.
By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.
Published By: Iovation
Published Date: Aug 02, 2019
Insurance fraud is back with a vengeance. With four out of ten mobile claims estimated to be fraudulent, using connected devices have made it easier than ever for fraudsters to commit insurance crimes. Gather insights from the live panel discussion hosted by MoneyLIVE & TransUnion. As fraud experts examine current trends & impacts of insurance fraud in today's digital age and learn how to overcome insurance fraud while protecting your customer relationships.
What you will learn:
Key trends behind fraud and the way in which they are impacting insurers.
How to tackle fraud and identify red flags by using a holistic approach.
Explore trigger points that can help warn insurers of when there is a high chance of fraudulent activity.
Identify the genuine customers and their genuine claims from the fraudsters.
VMware named a Leader, positioned furthest for its Completeness of Vision. Read this complimentary copy of the 2018 Gartner Magic Quadrant for WAN Edge Infrastructure to find out more.
*Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including and warranties of merchantability or fitness for a particular purpose.
Each year it seems pharmacy costs are taking a larger bite out of businesses like yours. We’re here to relieve some of the burden and help you reach your business goals by putting the sound advice you need right at your fingertips.
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have.
DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost.
Join our webinar to learn:
Why you don’t need to be an expert in data science to create accurate predictive models.
How you can build and deploy pr
What if you could use just one platform to detect all types of major financial crimes?
One platform to handle the analytical tasks of fraud detection, including:
Data processing and aggregation
Statistical/mathematical/machine learning modeling
One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud.
Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
Published By: DocuSign
Published Date: Jul 12, 2019
Rising consumer expectations are
shaping the future of insurance
industry, and transforming the claims
process is pivotal to improving the
customer journey. As carriers vie
to retain their clients and capture
new ones, they are turning to digital
technologies to streamline their
claims procedures—reducing their
costs and better managing their
risks along the way. We walk through
how digital technologies can help
insurers provide a convenient,
multichannel and truly satisfying
In their report, “Magic Quadrant for Cloud ERP for Product-Centric Midsize Enterprises,” ¹ Gartner recognized Epicor as a Visionary in the cloud ERP marketplace. Additionally, Epicor scored highest in the ERP Functionality use case in Gartner's critical capabilities report. ²
We believe Gartner’s positioning of Epicor ERP reflects our focus on providing solutions that fit manufacturing businesses to drive growth with greater ease. Read the report from Gartner to learn more.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
The stadium had been using two-way radios
to support daily operations for more than
a decade — an analog-based system that
was nearing end of life. The radios and the
repeaters were starting to fail, creating
communications gaps for employees. Being
fully focused on the task at hand became
challenging for employees that were
concerned about the effectiveness of their
radios on which they readily relied on for
collaborating with other team members and
addressing issues swiftly. The original system
treated them well for a long time, but it came
time to retire the equipment and make the
move to digital.
The largest national multiline insurance had built a repository of Insurance policies (P&C and Life Insurance) on Microfilm and Microfiche in early 90’s, as a preservation strategy. They were grappling with issues as this technology became outdated over time:
• Risk of losing their only source of data for Insurance policies and corresponding communication, need to improve data availability and speed of claims evaluation
• Compliance issues, need of a WORM (write once read many) storage compliant with FINRA regulations, where data should be encrypted when at rest
• Total cost for digitization compared to 10-12 years of support left to maintain insurance policies was not very encouraging
• Required a low cost, cloud-based, FINRA-compliant document management solution which could provide quick access to stored data
Download complete case study to know how LTI’s e-Office sDownload full case study to know how LTI’s e-Office solution enabled 50% TCO for Largest national Multiline Insurance.
Since the earliest days of the industry, insurance companies have faced a
never-ending struggle: processing the voluminous amount of paperwork that
underwriting, claims, and compliance require. But the days of enduring the
burdens caused by mountains of paper can become a distant memory. By
investing in new, proven methods of converting paper documents to readable
digital formats, insurance organizations can fully automate document processing
to accelerate workflows, minimize processing times and enable more efficient
Data analytic solutions help improve the value of health and human services, drive better decision-making and lower costs. See how the right solutions can contribute to millions of dollars saved through fraudulent claims detection, offer insights into the social determinants of health and benefit social programs.
As damaging breaches continue to occur, more organizations are considering endpoint detection and response (EDR) solutions to address the incidents that aren't being handled adequately by their existing defenses. However, EDR solutions come in a wide variety of implementations and can vary significantly in scope and efficacy — choosing the best solution can be challenging.
This white paper, “Endpoint Detection and Response: Automatic Protection Against Advanced Threats,” explains the importance of EDR, and describes how various approaches to EDR differ, providing guidance that can help you choose the product that's right for your organization.
Read this white paper to learn:
• What makes EDR such a valuable addition to an organization's security arsenal and why finding the right approach is critical
• How the “EDR maturity model” can help you accurately evaluate vendor claims and choose the solution that best fits your organization’s needs
• How the CrowdStrike® EDR solution empowers
If your organization is one of the 95% of enterprises
that operate in the cloud, you are already grappling
with cloud security. And if your organization is one of
the 85% of companies that use multiple Infrastructureas-a-Service
(IaaS) and Software-as-a-Service (SaaS)
clouds, you have additional issues to consider.
Compared to the days when organizations managed
everything on-premises or only had a handful of cloud
deployments, this new multi-cloud world exacerbates
the expansion of the attack surface and makes threat
containment and accountability more difficult. Further,
pressure on security teams to protect everything in
the multi-cloud environment is leading to reactive and
expensive threat management.
If you are a security leader tasked with meeting the
challenges of a multi-cloud environment, eventually
you’ll find that siloed cloud security strategies fall short
of the mark. But don’t wait. Now is the time to consider
a holistic security approach that reclaims control from
A basketball partnership that walks the walk, literally. Employees of the Minnesota Timberwolves get stepping.
In 2017, the Minnesota Timberwolves teams signed on to partner with Fitbit. This new sponsorship not only included a Fitbit patch on all team jerseys, but an opportunity to work together both on and off the basketball court.
For starters, the Timberwolves knew that creating a culture of wellness was a natural next step for the Fitbit partnership. Learn how this NBA organization:
? Launched a successful wellness program through Fitbit Health Solutions
? Kept momentum (and step counts) high on game days
? Experienced cost decreases on medical claims
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud.
This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others.
This TIBCO and Marketforce webinar on “The Fourth Industrial Revolution in Insurance” includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses:
Moving towards the algorithmic insurer: the opportunities created by AI and ML
How insurers can become more agile in the face of new innovations and disruptive technologies
How the industry can turn structured and unstructured data into insights
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market.
Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
Detecting and preventing errors that threaten patient safety is a closed-loop process that begins at the point of care, extends to independent laboratories, and then back to the caregiver. Sample identification and results reporting errors can lead to misdiagnosis and inappropriate treatment with deadly consequences. A 2006 Wall Street Journal article reported that while malpractice claims for pathology errors are relatively low, they are the second most costly. In addition to creating a serious risk to patient safety, sample misidentification creates significant financial implications. Redraws, retesting and additional treatment that result from sample errors cost the healthcare industry an estimated
$200 million to $400 million per year.
Performance textiles and fabrics are rapidly bringing apparel and footwear products into the 21st century. Manufacturers today are innovating at breakneck speed and bringing to the market synthetic textiles and fabrics with enhanced performance characteristics, or that feature embedded fibers or topical applications. This has led to the widespread introduction of advanced performance apparel and footwear that offer you new levels of comfort and safety.
At the same time, sorting through claims regarding the performance characteristics of these advanced textiles and fabrics can present real challenges for manufacturers, retailers and you. At a minimum, the myriad of vague, conflicting or unsubstantiated marketing claims and characterizations used to promote these materials often result in frustration and disappointment. And fraudulent representations can unnecessarily expose apparel manufacturers and retail buyers to potentially hazardous chemicals and other risks.
Published By: Iterable
Published Date: Sep 07, 2018
Since the term “omni-channel” was first coined by the Harvard Business Review in 2011, some marketing technology vendors claimed that they could provide businesses with this holy grail of brand ubiquity. Unfortunately, most of these early claims were false starts where vendors over-promised and under-delivered.
The good news is that a select number of solutions have caught up with all the promises and can now turn them into action. In this guide, we explain why the conversation around omni-channel marketing has changed and how you can transform your marketing strategy to leverage this new, powerful technology.
We’ll give you a heads up on the roadblocks you’ll encounter on your journey to achieving omni-channel relevance and the benefits you’ll gain once you reach your destination. No highfalutin jargon, no talking in circles and no nonsense. Just practical advice on how to create a superb customer experience.
Documents reviewed for production are the facts that underlay all claims and defenses – and they matter. But with volumes and costs exploding, it’s harder than ever to find the needle in the haystack. Join litigation experts from Thomson Reuters as they show you how to design a document review with an eye toward fact-finding, case analysis, and litigation strategy.
Attendees should have a basic understanding of document review and production practices and terminology. In this complimentary webinar, you will learn more about:
How to design a strategic review protocol
Optimizing process to increase communication
Knowledge sharing between the review and the law firm teams
Next steps once production is complete
This is Part I of a multi-part webinar series on leveraging document review to maximize litigation strateg
"Would you like to demonstrate how you can better leverage eSignatures within your company? Hear from real-world deployment experiences from our customers across HR, Legal, Procurement, Sales, IT and Facilities.
Transformation Manager Paul Smith will discuss how DocuSign fits into the five-year transformation plan at LV=. With eSignatures, the insurer processes claims 5x faster while realising annualised business benefits of £27.5k.
Read this whitepaper to learn how to:
- Build and execute a business plan – so you choose the use cases that are right for your business
- Identify your highest priority use cases – so you can quickly deliver the greatest ROI and align with your business goals
- Measure your results – so you can prove the value to your business"
Published By: XpertHR
Published Date: Aug 02, 2018
When it comes to managing the risk of sexual harassment claims, today’s headlines and news stories make it abundantly clear that it’s not just what you’re doing today that may create risk—but what you’ve done, or haven’t done, in the past. XpertHR’s recent Sexual Harassment Survey revealed a wide range of responses from employers hoping to tackle the issue in 2018.
New and vastly varying federal and state laws challenge HR professionals to remain on top of regulatory requirements related to policies, training and other compliance issues. XpertHR’s webinar, “Coming Soon: 50 States, 50 Sexual Harassment Training Laws,” will help you ensure you’re prepared, compliant and poised to act appropriately amid a growing number of regulations and continually emerging claims.
Get tips from expert attorneys who will help you get up-to-date on:
? New training requirements for private sector employers in New York and varying requirements in other states
? Why high-quality harassment training i
SE Labs tested CylancePROTECT® in an offline environment against major threats that subsequently appeared in the wild. The test explores the product’s ability to prevent new threats from attacking endpoint systems successfully. CylancePROTECT contains technology designed to identify and block malware using what it claims to be an “artificial intelligence” (AI) model. This model can be updated over time. However, in this test we used the model created in May 2015 and did not permit further updates so that the software was unable to receive new models or edit the existing one. The test exposed systems protected by this older version of CylancePROTECT to very impactful threats discovered and reported widely after May 2015. In this way, the test shows to what extent the product was able to predict how future threats would appear. This “Predictive Advantage” (PA), the advantage that users of the product have against future adversaries, is presented in this report.
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.