AI-d ven Transforma on in the Insurance Industry

January 25, 2019

The Insurance industry is on the brink of complete digital transformation. Traditional business models are giving way to new paradigms like Connected Insurance, Usage-based Premiums, and Smart Underwriting. Insurance customers are seeking on-demand, personalized experiences. The types of risks being covered are also evolving, presenting fresh business opportunities for insurers to reimagine their business by building a digital-enabled core to deliver sustainable operational efficiencies.

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Specture Labs IoT

Specture Labs is a category-defining decision science, IOT and big data analytics company, helping enterprises systematize better data-driven decision making. Specture Labs help companies make better decisions every day. The Specture Labs Decision Engineering Methodology is a proven, methodical approach that changes the way companies leverage their data. By building quantitative analytics-based decisions and scalable solutions, our clients generate better outcome, faster every time. And see the results in their top and bottom line.

OTHER WHITEPAPERS
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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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IT@Intel: Accelerated Analytics Drives Breakthroughs in Factory Equipment Availability

whitePaper | September 23, 2022

For Intel’s complex factory environments, quickly identifying tools that are operating below their optimal capacity and finding the root cause is crucial for maximizing production output. With thousands of tools involved in production and each manufacturing tool running from one to 50 operations, there are tens of thousands of tools and operations to monitor, analyze and adjust. Knowing where to focus engineering efforts is a monumental challenge.

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Top 5 Trends in Data & BI Governance

whitePaper | August 19, 2022

Metric Insights recently partnered with Donna Burbank on a webinar on trends for Data & BI governance in 2022. Burbank is the managing director at Global Data Strategy, Ltd., an international information management consulting company that specializes in the alignment of business drivers with data-centric technology.

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CDAIT Digital Transformation

whitePaper | November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

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Spotlight

Specture Labs IoT

Specture Labs is a category-defining decision science, IOT and big data analytics company, helping enterprises systematize better data-driven decision making. Specture Labs help companies make better decisions every day. The Specture Labs Decision Engineering Methodology is a proven, methodical approach that changes the way companies leverage their data. By building quantitative analytics-based decisions and scalable solutions, our clients generate better outcome, faster every time. And see the results in their top and bottom line.

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