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Published By: Splunk     Published Date: Aug 17, 2018
he digital transformation era has left organizations uncertain about how to best use all their newly generated data to foster growth and edge out the competition. This has led to the development of a new set of smart technologies to enhance an organizations’ ability to parse through extensive troves of data to find new insights. Download your complimentary copy of “AI and Machine Learning in Your Organization” to avoid missing out on valuable business insights. You’ll learn about: *The critical role AI and machine learning play in finding answers *How data is the fuel for your machine learning and AI-powered initiatives *The ways in which AI and machine learning are being applied today to bolster IT operations and security
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Splunk
Published By: F5 Networks Singapore Pte Ltd     Published Date: Jun 18, 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. 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: Taleo     Published Date: Feb 11, 2011
Today's Human Resources (HR), talent and learning executives face strategic challenges, organizational challenges, economic challenges, and a plethora of tactical issues each day. Read this whitepaper to learn how to get the right tools to drive decision making.
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human capital management, human resources, talent management, taleo, workforce management, core hr, learning and development, recruiting
    
Taleo
Published By: Pure Storage     Published Date: Apr 18, 2018
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning- especially deep neutral networks- make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject but also helps you get started building efficient deep learning networks.
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Pure Storage
Published By: SilkRoad Technology     Published Date: Feb 24, 2016
Onboarding solutions integrate with recruiting solutions so the transition from candidate to employee is effortless. They also integrate with performance and learning solutions so employees can start focusing on their future with the organization. Best of all, they are customizable so the company brand remains front and center.
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silkroad, human resources, roi, onboarding, technology solution, hiring
    
SilkRoad Technology
Published By: Brainshark     Published Date: Aug 02, 2017
Whether your sales reps are 25 or 65, sales enablement leaders all have the same goal: to ensure that reps are prepared to have impactful conversations with each and every buyer. However, the preferred methods of sales coaching change from generation to generation. Thankfully, sales coaching technology helps sales enablement leaders bridge that gap. This exclusive eBook provides details on how to use technology to alter your coaching strategy to appeal to next-gen sales reps, including: • Mobile and video-based coaching • Options for both formal and informal learning • Coaching for both individual and organizational mastery
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next-gen sales force, sales enablement, coaching, salesforce
    
Brainshark
Published By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: IBM APAC     Published Date: May 14, 2019
IBM PowerAI Enterprise helps to make deep learning easier and faster for organizations by bringing together some of the most popular open source frameworks for deep learning, with development and management tools in a single installable package. Designed to simplify end-toend deep learning, PowerAI Enterprise allows enterprises to spend less time on data preparation, implementation and integration, and more time training neural networks for results. IBM PowerAI Enterprise version 1.1.2 includes the most popular deep learning frameworks in one installation: - BVLC Caffe - IBMCaffe - TensorFlow - PyTorch - Keras (tensorflow-keras)
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IBM APAC
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: MarkLogic     Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide. Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities. Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy. We’ll cover: How to align your GRC strategy with a business transformation agenda How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations How to navigate the increasing regulatory demands for granular data security How to turn your compliance spend into new opportunities to earn revenue
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation
    
MarkLogic
Published By: SAP     Published Date: Jul 18, 2016
Explore this e-book to find out how blending formal and informal learning via collaboration can help your organization in overcoming the economics of learning, creating a culture of learning and enhancing employee engagement.
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SAP
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 is also a
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Oracle
Published By: VMware     Published Date: Jun 04, 2019
What started as “digital” transformation has blossomed into a trend that’s driving organizations to become “digital businesses.” Using emerging technologies like analytics, machine learning, and an on-demand approach to delivering IT services, many organizations are moving to a cloud model to implement this transformation. Organizations that leverage the cloud can accelerate product development, speed innovation, and empower workers to be more productive.
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VMware
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q418
Published By: Oracle     Published Date: Mar 08, 2019
Did you know that organizations with advanced finance teams are more likely to have a compelling digital customer experience? The driver behind this trend? A digital, customer-first way of working with greater investment in talent, innovation, and advanced technologies such as artificial intelligence (AI) and machine learning (ML). While finance has long taken advantage of technology to help drive productivity and collaboration, the goalposts have recently moved. Today’s organizations must adopt an agile finance operating model— powered by emerging digital technologies and skillsets—to better support the demands of an economy driven by continuous innovation.
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Oracle
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
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Group M_IBM Q119
Published By: Brainshark     Published Date: Nov 05, 2013
Employees today are challenged to keep up with rapidly changing technologies and information. Discover the benefits of just-in-time learning and learning on-the-go in this video, and find out how your organization can help employees learn anywhere, anytime and on any device.
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on-demand training, training, training costs, onboarding, new hires, compliance training, sales training, channel partner
    
Brainshark
Published By: Rosetta Stone     Published Date: Jul 05, 2017
The top clients of enterprise language learning companies consist of global companies that recognize the value of multilingual employees. While companies understand the necessity of language learning, there is room for improvement in incorporating language learning into corporate culture. This report looks at what companies are doing in the realm of language learning, to understand what best-in-class organizations are doing, and to provide businesses aspiring to be truly successful on a global stage with strategies for incorporating language learning into their business model. Forbes Insights and Rosetta Stone surveyed 214 executives around the globe to find out if and how companies are training their employees to speak and work in more languages and what impact that training has on both the employees and the company. In addition, the narrative is rounded out with in-depth interviews with executives and experts.
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Rosetta Stone
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
Published By: Inspirus     Published Date: Oct 04, 2017
Learning and development plays a critical role in any organization. Although learning has been unequivocally linked to high-performing organizations, we believe there hasn’t been enough attention paid to the lasting effects learning plays in engaging your workforce.
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Inspirus
Published By: BetterUp     Published Date: Dec 05, 2018
American corporations invest an estimated $160B on learning and development initiatives. But since employees forget up to 75% of what is taught, $120B of that investment is wasted. So, it's no wonder that 70% of organizational transformations fail. This eBook details what's required for successful individual transformation, from Learning to Doing to Being, incorporating the latest evidence from fields across the behavioral sciences.
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BetterUp
Published By: BetterUp     Published Date: Dec 05, 2018
BetterUp has been one of the most impactful learning and development solutions Logitech has implemented. By working one-on-one with BetterUp coaches, Logitech managers were equipped to better manage their mindsets and ultimately, have developed into stronger leaders. BetterUp can individually touch employees across your entire organization, regardless of their function, team, and location. Senior Director of Learning & Development at Logitech, Jessica Amortegui says, “If you want to significantly increase the impact of your learning and development programs, BetterUp coaching is the way to do it.”
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BetterUp
Published By: Oracle     Published Date: Oct 20, 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 compani
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Oracle
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