machine learning

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Published By: Amazon Web Services     Published Date: Apr 28, 2018
Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Apr 28, 2018
AI-Technologien wie Machine Learning und Deep Learning liefern zwei großen Marken in zwei sehr unterschiedlichen Branchen – Gesundheit und Versicherungen – Insights und Genauigkeit. Theorien zu den zukünftigen Auswirkungen künstlicher Intelligenz (AI) auf die Geschäftswelt und die Gesellschaft sind allgegenwärtig. Aber die Realität, wie Unternehmen sie kennen, die Technologien wie Machine Learning und Deep Learning anwenden, ist schon aufregend genug. Geschäftsmodelle werden anhand der Insights umgestaltet, die durch die leistungsstarken kognitiven Funktionen generiert werden. Neue Produkte und Dienstleistungen verbessern das Benutzererlebnis – um nicht zu sagen die menschliche Existenz. Auf sehr reale und bedeutsame Weise verbessert AI die Welt.
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Amazon Web Services
Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
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Avanade  DACH
Published By: Workday     Published Date: Mar 02, 2018
Artificial intelligence (AI) and machine learning are redefining business analytics. But for HR, use cases can be much more complex. Learn five key steps to build a strong foundation for answering HCM questions today and position yourself to use AI in HR going forward.
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artificial intelligence, hcm, five steps
    
Workday
Published By: MobileIron     Published Date: May 07, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
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mobile, threat, detection, machine, ransomware, confidential, networks
    
MobileIron
Published By: IBM     Published Date: Jun 04, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
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data analysis, data analytics, dashboards
    
IBM
Published By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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Datarobot
Published By: Datarobot     Published Date: May 14, 2018
Organizations across industries look to technology, not only as a way to run their operations more smoothly, but as a way to gain competitive advantage. Artificial Intelligence (AI) and machine learning have transformed the businesses that are aggressively adopting these technologies, allowing them to systematically solve business problems faster and more effectively.
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Datarobot
Published By: Genesys     Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results. Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes. Download the white paper and learn how to make better use of your analytics: • Automate responses that optimize the journey • identify and engage with customers before they contact you • Use predictive analytics and machine learning to drive outcomes
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customer needs, customer experience, customer behavior, customer journey
    
Genesys
Published By: Trend Micro     Published Date: May 03, 2018
Since the early days of the Gartner Magic Quadrant for this category, there have been successive waves of innovation. Back in 2002, integrated firewalls captured the market’s (and Gartner’s) attention. Over the years, we’ve seen technologies, such as full disk encryption, data loss prevention (DLP), behavioral detection, application control, and more recently, machine learning, as effective new ways to protect endpoints, detect threats and give security teams peace of mind. Trend Micro has consistently been part of these innovation waves. It’s clear that the market is excited about Endpoint Detection & Response (EDR). There are two drivers for this, and we are committed to delivering effective solutions in both areas.
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Trend Micro
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations. Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
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AWS - ROI DNA
Published By: Microsoft Azure     Published Date: Apr 10, 2018
Read why Forrester ranked Microsoft a leader in SFA Solutions You have bold ambitions for your sales team. You want to—and need to—reinvent productivity. But the success of your sales team is stifled by silos. It’s no wonder they’re struggling when their transactional systems, social networking, and productivity tools are separate. With the Microsoft Relationship Sales solution, you can scale the power of one-on-one relationship selling by unifying the sales experience. And you can help empower your sellers with savvy insights that engage and delight customers. It combines Dynamics 365 for Sales with LinkedIn Sales Navigator to help sellers identify the right customers—and the right time and way to engage with them. Read The Forrester Wave™: Sales Force Automation Solutions, Q2 2017 report that says Microsoft is a best fit "...for those companies that are bullish and looking to disrupt their peers with AI and machine learning." Empower your team to reinvent the way they sell—and he
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Microsoft Azure
Published By: Gigaom     Published Date: Jun 26, 2018
Join us for this free 1-hour webinar from GigaOm Research to learn what’s involved in building AI that makes all your people more productive.
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artificial intelligence, machine learning, workforce production, cloud data, ai support, business technology
    
Gigaom
Published By: SAS     Published Date: Jun 06, 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: 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: Cisco EMEA Tier 3 ABM     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA Tier 3 ABM
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Business users expect immediate access to data, all the time and without interruption. But reality does not always meet expectations. IT leaders must constantly perform intricate forensic work to unravel the maze of issues that impact data delivery to applications. This performance gap between the data and the application creates a bottleneck that impacts productivity and ultimately damages a business’ ability to operate effectively. We term this the “app-data gap.”
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Hewlett Packard Enterprise
Published By: Oracle     Published Date: Jan 16, 2018
Download this webinar to learn about Machine Learning and how it can be applied to finance, and acquire basic fundamentals about how to begin the journey.
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Oracle
Published By: Dell EMC     Published Date: Oct 13, 2016
Flexibility is important, since many future initiatives—big data, machine learning, emerging technologies, and new business directions—will be built on this cloud structure. No matter what shape your cloud infrastructure takes, Dell EMC converged and hyper-converged platforms and innovations like Dell EMC VscaleTM Architecture, powered by Intel® Xeon® processors, deliver the pathways to scale-up and scale-out, today and tomorrow.
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emc, capex, opex, roi, hyper-converged platforms
    
Dell EMC
Published By: Genesys     Published Date: Jun 06, 2017
In this ebook, learn: - Five trends will have the biggest impact on customer experience - How to use machine learning to detect patterns and trends to deliver the next great customer experiences - How to future-proof your contact center and adapt to changing customer needs
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genesys, customer experience, contact center solutions, contact center, customer needs
    
Genesys
Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
Infographic based on the InfoSight report.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
Every week InfoSight analyzes more than a trillion data points from more than 9,000 customers. How does this translate into true business value? By reducing your business risk with over Six-Nines of measured availability. By providing you with an infrastructure that gets “smarter” every single day. By empowering IT staff to focus on business priorities instead of mundane maintenance.
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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
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