U.S. Flood is a high-gradient, intricate peril incorporating various sources, and causing a variety of effects. It requires sophisticated models, data science, and analytics technology to properly understand and assess each risk.
Do you know your people as well as you know your customers?
Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people.
Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people.
Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights.
These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people
In our latest survey report, we explore the growth challenges facing businesses and HR leaders in a rapidly changing landscape.
We surveyed over 500 HR leaders in leading organisations to explore their views on these challenges, and to find out how they are supporting people and leveraging people data to help them achieve their growth goals.
The survey revealed that:
• It’s the war for talent, again. The greatest challenges for growing companies are winning the war for talent, growing productivity and improving workforce visibility.
• Fast-growth companies share common traits in the way they manage and engage their people—we call this being a People Company.
• There’s a disconnect between managers and employees in terms of what being a People Company means.
• Becoming a People Company is a journey, with many organisations some way from embracing all aspects.
• People Science is a thing: there’s an appetite to leverage people data and analytics, but there are blockers in the way.
Published By: Sage EMEA
Published Date: Dec 19, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions. Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people better an
So, while the advertising industry is in the midst of profound change, it’s hard to be certain about the form that it will take in future. There’s good reason to be optimistic, rather than pessimistic. Firstly, as we saw earlier, the proliferation of digital platforms means that there are now more canvases for creativity than ever before. And secondly, recent discoveries in psychology and behavioural science have highlighted how human decision making – in any context – is often unconscious or non-rational. As a result, the range of problems where creative communication can offer a solution is wider than ever previously realised.
If you’re not excited about where technology is going in the next five to ten years, you may not be reading enough science fiction. Cloud computing makes feasible some things that have never existed before. Some of these things will be delightful; others may be too invasive. From smart glasses to citizen science — the next 10 years will be all about cloud computing. Get five key takeaways about the future of cloud operations.
Published By: FusionOps
Published Date: Jul 25, 2016
Life science companies are adopting innovative cloud technology to provide a single source of truth for end-to-end supply chain decision-making.
Read this CIO interview to learn how H.D. Smith is using FusionOps supply chain intelligence software to improve efficiency, cost, and quality.
• How to improve time to actionable insights using a cloud platform
• How to improve service levels and forecast accuracy through deeper intelligence into the supply chain
• How to enable cross-functional collaboration to make better business decisions and drive performance improvement
Marketing is changing. The traditional model, which saw the customer path as a linear funnel, is broken. Today, customers follow whatever path they want, and you’re expected to reach out to them on their terms.
Published By: Tenable
Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse.
On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk.
Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to:
-Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited
-Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider
-Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks
Ensure you’re prioritizing the right vulnerabilities for your t
Using the Integrated Analytics Hub, data analytics projects have already accounted for an estimated quarterly savings on marketing digital-media expenditures of approximately USD 170,000.
Download this white paper to find out more.
Intel's Bob Rogers, chief data scientist for big data solutions, sat down with Dan Magestro, research director at the international Institute of Analytics (IIA), to discuss the power of asking questions when assessing an organisation's analytics maturity.
Read on to find out more.
What is People Science?
With People Science, organisations can finally use people data to understand how and why the workforce behaves the way it does. Once they have an insight into how their people interact with their environment and how that affects systems and performance, they can go about making better people decisions.
The more you know about your people, the more you can enable them to do their best work. And in turn, the greater the chance of business success. Yet, a rapidly changing world of work makes it difficult for companies to achieve this. There is a growing global skills crisis, and it’s getting worse. A shortage of skilled people makes it tough to find and attract the people you need — and it’s even tougher to get them through the door once you find them. To win the war for talent, you need to understand and engage with your candidates better than ever before.
Massive amounts of data are being created driven by
billions of sensors all around us such as cameras, smart
phones, cars as well as the large amounts of data across
enterprises, education systems and organizations. In
the age of big data, artificial intelligence (AI), machine
learning and deep learning deliver unprecedented
insights in the massive amounts of data.
Amazon CEO Jeff Bezos spoke about the potential of
artificial intelligence and machine learning at the 2017
Internet Association‘s annual gala in Washington, D.C.,
“It is a renaissance, it is a golden age,” Bezos said.
“We are solving problems with machine learning and
artificial intelligence that were in the realm of science
fiction for the last several decades. Natural language
understanding, machine vision problems, it really is
an amazing renaissance.” Machine learning and AI is a
horizontal enabling layer. It will empower and improve
every business, every government organization, every
Published By: Clustrix
Published Date: Sep 04, 2013
Find out how AdScience has been able to increase their revenue potential by five times using Clustrix to optimize bidding for their online ad broker agency. AdScience runs complicated algorithms to process bids for ad space based on click history. It's critical for AdScience to have instant access to smart data.
In his 1966 book “The Psychology of Science,” American psychologist Abraham Maslow tackled the idea that those in the field of psychology needed to approach treatment from multiple perspectives, to take on new ideas, and not just continue using the same theories and techniques created by Freud and his followers so many years ago. Acknowledging that changing your point of view can be difficult, Maslow wrote “[I]t is tempting, if the only tool you have is a hammer, to treat everything like a nail.” We have all had this experience. We get so used to the way things have been done in the past, we sometimes don’t question the reasons for doing them.
Published By: Cognizant
Published Date: Oct 23, 2018
Value-based care is the predominant model for enabling the healthcare industry to control costs and deliver better information to consumers. The basic idea is that reimbursements are based on the quality of the outcome of a procedure, episode of care, use of a device or therapy. Under this model, life sciences companies are rewarded for improving health outcomes and/or reducing the costs to achieve those outcomes. It requires life sciences companies to rethink many of their processes, from R&D through the commercial phase. Navigating those momentous shifts requires that life sciences companies embrace a range of digital technologies which will enable a holistic approach to value-based care. This white paper will examine the drive for value-based care, its impact on life sciences companies and how technology platforms can address the challenges the industry is facing.
Published By: Cognizant
Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
Dans son ouvrage intitulé « The Psychology of Science » publié en 1966, le psychologue américain Abraham Maslow s’est penché sur l’idée selon laquelle la psychologie devait être abordée sous plusieurs angles, faire place à des idées nouvelles et ne pas se limiter aux techniques et théories développées il y a bien longtemps par Freud et ses disciples. Conscient du fait qu’il n’est pas simple de changer de point de vue, Maslow a écrit : « [...]il est tentant, si le seul outil que vous avez est un marteau, de traiter tout problème comme si c’était un clou. » Nous avons tous vécu cette expérience. Nous nous habituons tellement à la manière dont les choses se font que nous ne remettons pas souvent en cause les raisons pour lesquelles nous les faisons.
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality.
This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
Cost reduction is a key criteria that executives often use when choosing initiatives to focus on. They are the ones that have the greatest potential to impact an organization's bottom line. Across life science organizations, a critical area for cost containment is training management.
This paper summarizes the results of a quantitative benchmarking survey to over 200 Life Science organizations. The study identifies the key compliance and performance improvement training topics they had addressed in 2011 along with key issues for 2012.
SOPs are critical to efficient manufacturing operations, quality control, and regulatory compliance. This paper reviews best practices for the Life Science industry for training on SOPs, and how learning management technology has the potential to improve learner retention through automated assessments.
Third party intermediaries have played starring roles in some of the most highly publicized global corruption trials. By any measure, third party intermediaries routinely rank high on the list of compliance worries for brand companies.