machine learning

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Published By: VMware     Published Date: Mar 12, 2020
CIO expectations for artificial intelligence are high, but success in this arena has proven elusive for most. In this executi ve brief, we explore the enthusiasm for AI — specifically machine learning — while highlighting key infrastructure and organizational requirement s that can make or break any AI initiative
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VMware
Published By: VMware     Published Date: Mar 16, 2020
Over the next five years, chief information officers (CIOs) in the Asia-Pacific region (including Japan) will lead their companies toward fundamentally new ways of doing business. Already leaders in corporate strategy and innovation, the CIOs of 2025 will be much more heavily invested in business outcomes, with direct responsibility for generating revenue. They will work closely with other leaders to understand how business units make their money and where competitive pressures exist, using their expertise to build solutions specifically aimed at improving topline results. They will also be rolling out fast-moving technologies, like artificial intelligence and machine learning, and managing the immense cultural changes that accompany them. These are some of the key findings of a Forbes Insights survey of more than 650 CIOs, which was conducted in partnership with VMware. The survey covered a broad range of industries, including financial services, healthcare, government, manufacturing,
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VMware
Published By: VMware     Published Date: Mar 16, 2020
The CIO's world is changing fast. In five years, chief information officers (CIOs) will have new responsibilities in the C-suite and across the enterprise, extending their strategic influence over product development, marketing, human resources, the supply chain and more. They will be challenged to discover new ways of generating revenue and to introduce artificial intelligence and machine learning capabilities that create unparalleled efficiencies. Such are some of the findings of a global Forbes Insights survey, conducted in partnership with VMware, of more than 650 CIOs in North America, Europe and the Asia-Pacific region (including Japan). The surveyed CIOs are from broad range of industries, including financial services, healthcare, government, manufacturing, retail and telecommunications. They work for organizations with annual revenue of $1 billion or more; 16% were from firms with at least $10 billion in revenue. Based on the survey findings, this report examines six critical d
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VMware
Published By: F5 Networks Singapore Pte Ltd     Published Date: Sep 09, 2019
Have you ever wished for an army of clones to do all your thankless tasks and chores? Well, that fantasy is becoming a reality—at least on the Internet. And while they may not be actual clones, bots have begun doing lots of digital dirty work. Managing your relationship with bots—good and bad—has become an inherent part of doing business in a connected world. With more than half of online traffic initiated by autonomous programs, it’s clear that bots are a driving force of technological change, and they’re here to stay.ą As bot technology, machine learning, and AI continue to evolve, so will the threats they pose. And while some bots are good, many are malicious—and the cybercriminals behind them are targeting your apps. Preparing your organization to deal with the impact of bots on your business is essential to developing a sustainable strategy that will enable you to grow as you adapt to the new bot-enabled world.
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F5 Networks Singapore Pte Ltd
Published By: Genesys APAC     Published Date: Mar 24, 2020
In the digital marketplace, customers appear when they want to and spend only a couple of minutes on your website. Then they disappear without a trace. With artificial intelligence and machine learning, you can track every customer’s individual journey in real time. This enables you to proactively advise your sales teams on who to engage and when to engage them—and you can do it all with a perfectly matching offer, chat or co-browsing with a live sales rep. That increases your conversion rate dramatically while decreasing your cost of sales. Companies that automate lead management see a 10% or greater increase in revenue in six to nine months, according to Gartner Research. In this ebook, you will learn: • How to shift your sales and marketing strategy to accommodate the new digital marketplace • How to leverage real-time engagement and automation to increase conversions • Best practices from companies who leverage new sales engagement technology to increase revenue and decrease cart
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Genesys APAC
Published By: TIBCO Software     Published Date: Mar 17, 2020
“Across industries, AI is capturing people’s imaginations.” —Fern Halper, Ph.D., V.P. and senior director of TDWI Research for advanced analytics Artificial Intelligence (AI) is no longer a futuristic technology. AI is here, now, and it’s transforming the way we do business everywhere. From fraud detection to cancer diagnoses to crop yields, it is revolutionizing organizations and enabling better decision-making. Read this TDWI Best Practices Report to learn how organizations across industries are implementing AI for good, and how you can do the same.
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TIBCO Software
Published By: TIBCO Software     Published Date: Mar 17, 2020
With the advent of technologies that connect more people, machines and processes to one another, the importance of advanced analytics and machine learning is growing fast. But the effort to derive maximum benefit from those advanced analytics is still limited in most organizations by the human element. Data scientists, seen as the only people sufficiently trained to navigate big data successfully, have become the bottleneck. This paper examines the evolving role of the citizen data scientist, empowered to fill in where there are not enough traditional data scientists to go around. Powerful software tools like Statistica allow trained data scientists to develop models around advanced data analytics, machine learning and algorithmic business, then make them available to the line-of-business (LOB) managers and users who need them to make better decisions.
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TIBCO Software
Published By: TIBCO Software     Published Date: Mar 17, 2020
AI has the potential to transform the Travel industry. But one size does not fit all. What problems can it solve for your company? With insights from Airbnb, Air Canada, and TIBCO Software, this whitepaper discusses how you can create an AI and advanced analytics strategy that meets the specific needs of your business. For this whitepaper, we partnered with online travel intelligence provider EyeforTravel to present: Statistics on AI adoption, growth rates, and revenue trends Key information for revenue managers, analytics experts, ecommerce executives, and tech aficionados The all-important link between AI and profitability for world leading travel brands Get insight into: Deep learning techniques and neural network models that drive real-time, optimized results for your customer How AI can empower your teams to make better predictive decisions and dramatically boost productivity The data engine needed for machine learning to deliver a rich picture of the traveller to drive loyalt
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TIBCO Software
Published By: TIBCO Software     Published Date: Mar 17, 2020
Successful artificial intelligence (AI) and machine learning (ML) initiatives bring value to the entire organization by delivering insights to the right person or system at the right time within the right context. But many organizations are unable to do this because they are too focused on algorithms. Data science is more than neural networks and deep learning! Organizations need to instead leverage people, processes, and technology to infuse AI and ML into business processes. It’s kind of like making homemade bread. It sounds simple, only four ingredients: flour, water, yeast, and a bit of salt. But if you don’t follow the recipe or forget one of the critical ingredients, you end up with inedible bread. AI and ML initiatives require the same level of care to get it just right. Read this whitepaper for an easy-to-follow recipe to help you operationalize AI and ML and turn your data science home kitchen into a fully-functional bakery.
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TIBCO Software
Published By: TIBCO Software     Published Date: Mar 17, 2020
Data science and machine learning are key technologies for enterprises that want to take advantage of the massive insights buried in their data marts, data warehouses, Apache Hadoop lakes, and spreadsheets. But, despite the millions of dollars invested in analytics technologies, the majority of companies still struggle to establish an efficient and programmatic way to do analytics at scale. According to Gartner Inc., over 60% of models developed with the intention of operationalizing them were never actually operationalized. Why are these investments failing to meet expectations? In this paper, we delve into today's most common data science and ML myths and offer potential solutions.
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TIBCO Software
Published By: TIBCO Software     Published Date: Mar 17, 2020
Forrester has reported that "while 74 percent of enterprise architects aspire to be data-driven, only 29 percent say their firms are good at translating the resulting analytics into measurable business outcomes." Part of the problem is that when it comes to this critical "last mile," connecting data science insight to actions that drive bottom-line business results, too many organizations are doing it wrong. To get greater value from analytics, organizations need to view data science not as a project, but as a process that includes a range of stakeholders and a repeatable set of steps, including feedback loops that engender continuous improvement. This whitepaper looks at some of the key mistakes that businesses keep making when it comes to machine learning and predictive analytics, and outlines a better approach, a blueprint that will help ensure more streamlined, and ultimately more successful, analytic efforts.
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TIBCO Software
Published By: Workday APAC     Published Date: Mar 05, 2020
Smarter. Faster. More agile. This is the future of HCM. How do you keep up with the changing world of HR? By thinking like a tech company. Workday helps you work smarter, faster, and with more agility than ever before. Read on to discover the benefits of a single system to plan, execute, analyze, and extend—all powered by machine learning.
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Workday APAC
Published By: Workday     Published Date: Mar 18, 2020
"AI innovations are disrupting everything about the way we work—especially ERP systems. Read this whitepaper to learn how machine learning is helping make business systems smarter and more agile and how our approach to AI implementation ensures Workday delivers value you can trust."
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Workday
Published By: Workday     Published Date: Jan 31, 2020
Workday was innovative when it was founded and we continue to build on that innovation as the world of IT changes. Read this brochure to learn how that innovation—including our cloud-first approach, machine learning advances, and leading analytics and reporting—deliver what you need to get ahead in a changing world of work.
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Workday
Published By: Workday     Published Date: Jan 31, 2020
Today’s data is 3-D, continuous, flowing, ever-growing. You need a single system that handles all of it––now and into the future. With the future in mind, Workday helps your business move into the era of machine learning to achieve the highest level of operational efficiency. Learn more.
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Workday
Published By: Workday     Published Date: Sep 05, 2020
Machine learning allows Workday customers to supercharge predictive capabilities with data-informed decisions that power better business outcomes. Whether you’re looking to gain a better understanding of the skills of your workforce, analyze strengths and gaps, or connect the right person with the right job, Workday makes it easy. Learn more.
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Workday
Published By: Anaplan     Published Date: Mar 05, 2020
Anaplan puts sales leaders in the driver’s seat by revealing actionable insights using artificial intelligence (AI) and best-in-class machine learning technologies to give businesses a competitive advantage. Build an effective data-driven sales plan and make better-informed decisions with vital intelligence about your global market opportunities. Inside this data sheet you’ll find: Key benefits of Predictive Sales Planning. AI and machine learning-powered features. Enhanced capabilities of Anaplan’s solution for sales.
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Anaplan
Published By: TIBCO Software     Published Date: Mar 23, 2020
"As banks globally bet big on artificial intelligence and machine learning to give them the technological edge they need to offer more, a framework will help differentiate the winners. Download this infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. Learn about: - Trends that reflect bank’s readiness for connected intelligence - Pitfalls to avoid and ways to bridge the gaps - Personal, real-time and predictive building blocks of AI & ML for banks - Notable leaders based on IDC Financial Insights’ research and their respective use cases - Essential guidance from IDC to leading banks"
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TIBCO Software
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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Entrust Datacard
Published By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 14, 2020
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
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.
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Hewlett Packard Enterprise
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