machine learning

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Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
In our 29-criteria evaluation of machine learning data catalogs (MLDCs) providers, we identified the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterline Data — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Aug 21, 2019
Artificial intelligence (AI), including machine learning and deep learning, is set to become one of the most transformational technologies in the history of the world, affecting most aspects of our lives whether we’re conscious of it or not. The application of these technologies will likely reshape how people work, study, travel, govern, consume and pursue leisure activities.
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Group M_IBM Q3'19
Published By: Acoustic     Published Date: Oct 04, 2019
Simply put: Marketing isn’t what it used to be. If you want to compete in this rapid digital world, you need to make your customers happy. Constantly. We’ll get you started with nine of the most exciting trends developing in the world of marketing in 2019. With this report, you’ll learn: How the new director of marketing data position and GDPR compliance can build customer trust. What it means for customer centricity now that MarTech and AdTech are finally coming together with AI and machine learning. How to adjust your business purpose to create customer loyalty as the attention economy shifts to the emotion economy.
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Acoustic
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: Oracle     Published Date: Sep 30, 2019
Do you want more powerful insights from your data? Are you looking for ways to make your data more secure? Hear how you can do this using technology, AI, machine learning, and automation in a secure, compliant, and sustainable way. In this episode of tomorrow talks with IDC and Oracle the conversation moves on from who’s responsible for data security to making sure data delivers value. To find out more download the webinar today.
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Oracle
Published By: Oracle     Published Date: Sep 09, 2019
Do you want more powerful insights from your data? Are you looking for ways to make your data more secure? Hear how you can do this using technology, AI, machine learning, and automation in a secure, compliant, and sustainable way. In this episode of tomorrow talks with IDC and Oracle the conversation moves on from who’s responsible for data security to making sure data delivers value. To find out more download the webinar today.
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Oracle
Published By: Oracle EMEA     Published Date: Oct 08, 2019
Data management doesn’t come easier than this. Thanks to machine learning, artificial intelligence and the power of the cloud just about anyone can gain insight from their data with Oracle Autonomous Database. Easy to install, just provide the service level you want and it does the rest from self-repairs and automatic patching to countering threats. Discover more with the Autonomous for Dummies white paper.
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Oracle EMEA
Published By: Oracle EMEA     Published Date: Dec 10, 2019
This webinar demonstrates how connected data changes everything. In an autonomous world you’ll take the lead, becoming central to your company’s success. Machine learning will take care of the day-to-day maintenance leaving you to focus on design, analytics and strategy. And crucially, you’ll find yourself empowering and inspiring your colleagues to gain their own insights from real- time data.
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Oracle EMEA
Published By: Oracle EMEA     Published Date: Feb 27, 2020
This webinar demonstrates how Autonomous Database benefits your whole organisation. It’s so easy to use – simply load and run. And there’s no need to be an expert, business colleagues with no machine learning experience can use Autonomous Database in an intuitive way. Your role is key in empowering them to gain insights and generate reports from real-time data. Watch our webinar.
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Oracle EMEA
Published By: Oracle EMEA     Published Date: Feb 13, 2020
Imagine your database taking care of itself with little or no administration by you. With Oracle Autonomous Database that’s exactly what you can look forward to. Thanks to machine learning, you can determine the service level you want and it does the rest. It will install patches automatically and use artificial intelligence to protect itself from threats. And while your operations are running, it constantly tunes itself to deliver 99.995 percent uptime. Take a closer look at Autonomous for Dummies
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Oracle EMEA
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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MicroStrategy
Published By: Epsilon     Published Date: Mar 17, 2020
Innovations, such as machine learning and kinetic email, are transforming marketing. These new technologies bring an enhanced element of engagement and allow us to reach consumers in new ways. In this e-book, we showcase real examples of brands that are using these innovations to embrace marketing in micro-moments.
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Epsilon
Published By: Workday     Published Date: Jan 09, 2019
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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Workday
Published By: Adobe     Published Date: Oct 11, 2018
Adobe offers powerful personalization tools that help you give your customers custom experiences every time they interact with you. With Adobe, you can take control of your data, use AI to achieve scale, and see incredible results. Adobe Target helps marketers deliver relevant, personalized experiences to highly targeted audiences based on behavioral analytics and audience data. Powered by AI and machine learning, users can deliver individualized customer experiences at massive scale.
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Adobe
Published By: MobileIron     Published Date: Feb 12, 2019
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. This paper examines some current mobile threat defense approaches to help organizations understand where traditional solutions may fall short — and how machine learning-based threat defense can expand upon those capabilities by providing immediate, on-device protection against mobile attacks.
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MobileIron
Published By: Oracle     Published Date: Feb 21, 2018
A basic chatbot isn’t that hard to build. In JavaScript, write a public REST endpoint to connect a Facebook page to some chat logic (botly is a popular option) and deploy the whole thing to run on a cloud platform. Zoom out to the bigger picture, though, and you see that Facebook is just one channel. If you use Skype, Slack, Kik, and digital voice assistants, you’ll have to build six or eight of these endpoints straight away. And chatbots are being asked to handle ever more complex responses, so you better build on a platform of machine learning and natural language processing to keep up. That’s why the question enterprise developers should be asking is not “Which chatbot service do I start with?” but “Which platform will let me crank out a chatbot today and also support multiple channels and integrate with back-end systems as these chatbots take off?”
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Oracle
Published By: Genesys     Published Date: Feb 12, 2019
Abbiamo chiesto a una serie di analisti e figure di riferimento del settore di indicarci quali saranno secondo loro le tendenze chiave relative all’engagement del cliente a partire dal 2017. Da tecnologie all’avanguardia come l’IoT e i Bot fino a nuove interpretazioni di idee del passato, i temi caldi indicati hanno fatto emergere cinque trend fondamentali destinati a ridefinire il futuro della Customer Experience. In questo ebook, scoprirai: I cinque trend che avranno il maggiore impatto sulla Customer Experience Come usare il machine learning per identificare tendenze e modelli utili a offrire un’eccezionale Customer Experience di nuova generazione Come avere un contact center all’avanguardia e adattarlo alle esigenze in rapida evoluzione dei clienti
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Genesys
Published By: Juniper Networks     Published Date: Aug 08, 2017
As enterprises embark on the digital transformation to take advantage of artificial intelligence, big data, machine learning, IoT, and cloud, they need a network infrastructure that gives them a solid foundation. Juniper Networks® Unite CloudEnabled Enterprise allows networking across your entire enterprise—campus, branch, and data center—ultimately helping you reduce risk, increase agility, lower costs, and enhance the customer experience. Here are the Top 6 reasons why enterprises embarking on the journey of digital transformation should switch to the Juniper Unite Cloud-Enabled Enterprise solution.
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Juniper Networks
Published By: Citrix ShareFile     Published Date: Jul 02, 2019
Get the report to find out how smart organizations are using new strategies to simplify IT infrastructures and empower employees to do their best work: • Get advice from Google and Citrix on how to manage the cloud transition strategically • Avoid common cloud work side effects such as excessive application logins, siloed data searches, and channel switching • Capture a vision for how artificial intelligence (AI) and machine learning are making work even more intuitive and personalized
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Citrix ShareFile
Published By: HP Inc.     Published Date: Jun 20, 2019
Four billion people now generate four quintillion bytes of data every day - and with the number of IoT devices set to increase to three times the global population by 2022 - volumes will only continue to rise. The challenge is processing the data. This is why machine learning, deep learning and all the other developing forms of AI must deliver the analytics toolset businesses need to compete.
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HP Inc.
Published By: Google Cloud     Published Date: Feb 22, 2018
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Google Cloud
Published By: Google Cloud     Published Date: Feb 22, 2018
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Google Cloud
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