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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
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: VMware     Published Date: Mar 16, 2020
Like most global IT organizations, the past twelve months were full of opportunity, learning, and achievement. VMware IT had a major impact on launching innovative initiatives, improving the quality of collaboration throughout the company, ideating on product development, and introducing infrastructure programs to complement app modernization. I am honored to be part of a team focused on efficiency, agility, and resiliency, as well as a company whose philosophy is around people and process first, followed by technology.? Looking back at 2019, VMware releases the third annual report “Increasing Business Agility Through Digital Transformation.” As we review our progress of the past year, we wish to share our experiences and learnings with industry leaders and fellow IT organizations. Digital transformation was one of our goals for 2019 and is an area in which we have made outstanding progress and achievements. Within digital transformation, we focused on the following:?
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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: AppDirect     Published Date: Mar 23, 2020
As more companies experiment with platform strategies, many are learning an important lesson: A platform will only be as successful as the digital ecosystem that supports it. Despite this, many organizations are not actively pursuing them. Why? Typically, a company starts to build an ecosystem, but then runs into an avalanche of complexity when it tries to manage the day-to-day realities of administering a platform. This white paper delves into these challenges and explores critical issues surrounding the platform / ecosystem model, including: Why platforms are so powerful Why ecosystems are the engines of platform innovation How to create an ecosystem strategy What to focus on when choosing a technology platform Why working with knowledgeable partners can help improve the odds of success Fill out the form to download the white paper.
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AppDirect
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
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: 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: 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: Jul 25, 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: Jul 25, 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: SAS     Published Date: Jan 17, 2018
Competitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally. Learn more about key findings, including: Wider use of analytics, better knowledge of its benefits and greater focus on applications have reversed a trend on the benefits of analytics. Return on investment for analytics stems from the governing and sharing of data throughout the organization. Machine learning enables organizations to discover more insight from their data, allowing employees to focus on other critical responsibilities.
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SAS
Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, networking, it management, knowledge management, data management
    
Pentaho
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital i
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Oracle
Published By: Rosetta Stone     Published Date: Jan 23, 2018
When augmenting the benefits package for your organization, it’s natural to focus on traditional perks that employees have come to expect: PTO, health insurance, and maybe a tuition assistance credit here or there. But if you’re looking for creative and effective ways to stimulate employee engagement while also driving business results, you’ll want to consider the powerful impact of offering language-learning opportunities. Where’s the connection? And how can you reproduce these benefits within your organization? This playbook offers a deeper look at why language learning has such a positive influence on employee engagement and business performance, as well as step-by-step instructions for implementing a language-learning program in your organization.
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Rosetta Stone
Published By: SAP     Published Date: Apr 03, 2017
Explore this e-book to find out how blending formal and informal learning via collaboration can help your organization in the following areas: Overcoming the Economics of Learning Creating a Culture of Learning Enhancing Employee Engagement
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collaboration, hcm, cloud, digital transformation, employee engagement, transformational learning, learning, content
    
SAP
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
Published By: IBM APAC     Published Date: Jul 19, 2019
AI applications and especially deep learning systems are extremely demanding and require powerful parallel processing capabilities. IDC research shows that, in terms of core capacity, a large gap between actual and required CPU capability will develop in the next several years. IDC is seeing the worldwide market for accelerated servers grow to $25.6 billion in 2022, with a 31.6% CAGR. Indeed, this market is growing so fast that IDC is forecasting that by 2021,12% of worldwide server value will be from accelerated compute. Download this IDC report to find out why organizations like yours will need to make decisions about replacing existing general-purpose hardware or supplementing it with hardware dedicated to AI-specific processing tasks.
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IBM APAC
Published By: Puppet     Published Date: Mar 09, 2017
DevOps cuts deep and wide through industries, company sizes, and technology environments. Yet, DevOps is never done — it’s about continual learning and improvement rather than an end state. Puppet is here to help. We draw on the success stories and lessons learned at organizations that are already driving improved performance and better business outcomes with their DevOps initiatives. This handbook captures five essential phases for mapping out a DevOps journey: 1. Build the business case for DevOps. 2. Address the biggest challenges to DevOps success. 3. Develop a performance-driven team structure. 4. Choose the right Tools and processes. 5. Plan your key implementation phases.
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Puppet
Published By: IBM APAC     Published Date: Mar 06, 2019
The Forrester Study on cost savings and business benefits enabled by Watson Studio and Watson Knowledge Catalog. Watson Studio provides a suite of tools for data scientists, application developers, and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy machine learning models at scale. The Forrester provides readers a framework to evaluate the potential financial impact of the Watson Studio and Watson Knowledge Catalog investment on their organizations.
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IBM APAC
Published By: Vmware     Published Date: Mar 13, 2020
Over the next several years, chief information officers (CIOs) will see their roles radically change—to an extent that changes the cultures of their companies in turn. In an age in which tech drives progress, CIOs will expand their purviews, now functioning less as the people who "merely" acquire IT systems and make sure they run correctly than as strategic assets in their own rights. They'll preside over transformative technologies like artificial intelligence and machine learning, transform business models, generate revenue, assume responsibility for steering their employers through a new cyber-threat environment and more. To illuminate the role of the CIO in 2025, Forbes Insights partnered with VMWare to survey more than 650 CIOs from a range of sectors, including financial services, healthcare, government, manufacturing, retail and telecommunications. The CIOs were from organizations with annual revenue of $1 billion or more, w
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Vmware
Published By: Vmware     Published Date: Mar 17, 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
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