"Extracting value from data is central to the digital
transformation required for businesses to succeed
in the decades to come. Buried in data are insights
that reveals what your customers need and how
they want to receive it, how sales, manufacturing,
distribution, and other aspects of business operations
are functioning, what risks are arising to threaten
the business, and more. That insight empowers your
businesses to reach new customers, develop and
deliver new products, to operate more efficiently
and more effectively, and even to develop new
business models. "
The bar for success is rising in higher education. University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
The Center For Literacy (CFL) is a Philadelphia, Pennsylvania based nonprofit organization that disrupts cyde of poverty by providing basic math, reading and English language skills to nearly 1,5000 adults,so they can succeed in the workplace in post secondary education.
As a food and beverage processor or distributor, can you manage your suppliers from anywhere? Can you meet compliance regulations? Can you track all your operations? Can you solve unexpected demands? Read our eBook to discover all the right ingredients for your success.
Published By: Cloud Blue
Published Date: Jan 29, 2019
A successful go-to-market (GTM) strategy is critical to succeed in the digital economy. Learn what goes into the three stages required to build, implement and launch a successful XaaS GTM plan--and how much faster you'll get there partnering with CloudBlue.
Published By: Rackspace
Published Date: Feb 12, 2019
In today’s digital world, technologies such as cloud have become commonplace to take digital transformation projects to the next level. But while cloud is critical to business transformation success, Australian IT decision-makers (ITDMs) still feel that the C-suite does not understand the time and complexity of the journey.
This paper explores:
• Insights on challenges faced by Australian ITDMs when rolling out cloud projects
• The role of the ITDM today
• Key blockages IT stakeholders encounter when driving digital change, and;
• What they need from the business and wider technology ecosystem to navigate the risks associated with starting a cloud project or moving to a full cloud-first model.
LTI helped a leading global bank digitize its traditional product ecosystem for AML transaction monitoring. With the creation of a data lake and efficient learning models, the bank successfully reduced false positives and improved customer risk assessment. Download Complete Case Study.
The finance team’s data analytics skills put CFOs in the driving
seat of digital change. Read the Economist Intelligence Unit report now to learn:
• How finance helps other business units meet their digital ambitions
• Why finance needs to make data visible across the business
• Why it’s important to develop metrics for digital success
After talking to 27 leading CFOs, the Economist Intelligence Unit finds that the finance team’s data analytics skills put the CFO in the driving seat of digital change.
The result is that the CFO has a new responsibility to:
• Help other business units meet their digital ambitions
• Make relevant data visible across the business
• Develop goals and metrics for digital success
Watch the webinar
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them.
Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include:
Why data science should not be treated like engineering.
How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle.
Why agility and special hardware to support burst computing are so important to data science break
In our 26-criterion evaluation of API management
solutions providers, we identified the 15 most
significant ones — Axway, CA Technologies,
Google, IBM, Microsoft, MuleSoft, Oracle, Red
Hat, Rogue Wave Software, Sensedia, Software
AG, TIBCO Software, Torry Harris Business
Solutions, Tyk Technologies, and WSO2 — and
researched, analyzed, and scored them. This
report shows how each provider measures up
and helps application development and delivery
(AD&D) professionals make the right choice.
To run a successful operation, every manufacturing organization needs a modern enterprise resource planning (ERP) system to boost efficiencies and drive down costs. However, with so many options available, it can be difficult to make the right choice. If you’re wondering whether a generic or industry-specific solution is the best fit for your business—or if you’re wondering how to even start the ERP selection process—you’re not alone.
In this white paper, you’ll discover ways to simplify your ERP selection process, and you’ll learn the differences between industry-specific and generic ERP solutions.
It’s important for American manufacturers to stay current if they wish to remain successful? Positioning yourself for growth means looking to the future and gaining efficiencies through new technologies? That’s why this question may be the most important one for your business— are you a future-ready manufacturer?
Before you can adequately answer that question, you and the members of your organization need to know the answers to these three questions:
X Where are we today? X Where do we want to be in three to five years? X How can we embrace innovation and automation?
If decision-makers in your organization can’t answer these questions, you have bigger issues than you may realize?
At the very least, tackling these tough questions now will put you ahead of competitors who are consumed with putting out today’s fires rather than focusing on growth opportunities? Manufacturers that aren’t prepared for the coming global megatrends and don’t invest in breakthrough technologies will be rende
The war for talent is a term that was coined by Steven Hankin of McKinsey & Company in 1997 to refer to an increasingly competitive landscape for recruiting and retaining talent. Today, this “war” has escalated
to new heights, commanding the attention of CEOs across all industries.
According to research recently published by McKinsey, more than three-quarters of Fortune 500 CEOs do not believe their companies are effective at attracting highly talented people. Of those CEOs who do consider their companies successful at attracting top talent, only 7% believe they are effective in retaining them.
In today’s hyperconnected labor market, recruitment and retention are not separate problems; they are two sides of the same coin. Companies that have adopted integrated strategies for recruitment and retention have a significant competitive advantage. But according to McKinsey’s data, this group represents only a small fraction of the Fortune 500. The rest of the HR universe is under tremendous
Download this report for an in-depth analysis of trends in customer experience management strategies for financial services companies. The study was developed using independent research and survey responses from 100 senior-level leaders across marketing, customer experience management, analytics, digital strategy, and innovation roles.
After identifying key market stressors, the report analyzes the five key drivers of successful customer engagement: Customer Understanding, Prioritization, Design, Measurement, and Culture.
Published By: Forcepoint
Published Date: Jan 03, 2019
How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services. Read the eBook to find out the five information security lessons learned from transitioning to the cloud.
While it is easy for marketers to be distracted by the power of data and technology, a new report reminds us what really drives business decisions: feelings. A new study conducted by the Financial Times Commercial Insight Group and gyro asked more than 300 FT readers across the globe to express what feelings are crucial for creating successful business relationships.
The most expensive software you’ll ever purchase is the software that no one uses. Are you interested in adding a benefits data platform to your HR stack, but you don’t know where to start? This whitepaper will act as your comprehensive guide.
• Learn what great benefits data partners offer for services and support
• Understand the key features and functionality you should look for
• Discover the evaluation criteria that will ensure a successful partnership
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data.
• Which data sources will help you ensure you’re measuring the right thing at the right time
• How to ensure data variety and choose key metrics
• An example of a successful predictive analysis using benefits data
Published By: Uberall
Published Date: Jan 24, 2019
Offering a holistic suite of location marketing services can be a huge
differentiator for your business. After all, the primary metric of success for
most SMBs and SMEs is how many customers you can get through their
doors. Having a strong location marketing game is critical to both delighting
them and growing your own business.
Collaboration in the enterprise requires a triumvirate of people, process and technology to be successful. With the plethora of collaboration applications available today, both IT professionals and collaboration business users alike need to take a holistic approach to be successful with
collaboration. This paper lets you know about some of the common pitfalls and how to avoid them.
Published By: Infosys
Published Date: Feb 12, 2019
DevOps is fast assuming greater importance in deciding the agility of an enterprise. A robust DevOps setup is crucial for successful agile delivery and minimal risks. It greatly optimizes release management costs and team productivity, resulting in reduced time to market. At the same time, DevOps enables organizations to make rapid product releases with increased quality and manage customers' expectations.
In this paper we explore various aspects of DevOps. We look at key success attributes, main processes, tools, and frameworks that play an elementary role in DevOps.
"Learn how Citrix Workspace enables a flexible workplace that helps your organization become productive, innovative, and attractive to top talent.
In this eBook, you will learn how to:
- Empower employees and teams anywhere, on any device
- Simplify and improve both security and endpoint management
- Adopt new technologies more quickly and effectively"
Published By: FICO EMEA
Published Date: Jan 25, 2019
Communications service providers (CSPs) have long recognized the potential of data analytics. Yet their early efforts to pull actionable intelligence from the oceans of data they have access to were largely unsuccessful. Many tried a 'big bang' approach to building a central repository without knowing what they wanted to do with the data in it. The arrival of artificial intelligence (AI) – its machine learning subset in particular – has changed their thinking and approach.
For this Quick Insights report, we surveyed 64 professionals from CSPs around the world who are applying, leveraging and/ or planning to deploy advanced analytics in some capacity at various points across the customer lifecycle.