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Published By: Oracle     Published Date: Mar 04, 2019
Technology adoption varies from sector to sector, company to company and department to department. We asked 4000 leaders about their views on technology to find out which had the potential to cause serious innovation. It might be surprising to know that although its adoption levels are lower than other emerging technologies, artificial intelligence is most exciting to HR leaders. However, chatbots are what people want to hear less about. How did the other 4 technologies fare? The results were fascinating.
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Oracle
Published By: Oracle     Published Date: May 08, 2019
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing. This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond. The Intelligent Enterprise Era. Download predictions.
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Oracle
Published By: Oracle     Published Date: May 08, 2019
What if your database could install, manage, secure, and upgrade itself—with little or no manual administration required? Now it’s possible, thanks to machine learning, artificial intelligence and the power of the cloud. Discover how the Oracle Autonomous Database is: • Self-driving: Tell it the service level you want to achieve, and it does the rest. • Self-securing: It installs patches automatically and uses AI to counter threats. • Self-repairing: It patches, scales, and tunes itself while your operations are running, to deliver 99.995% uptime. Discover the power of autonomous data management. Download now.
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Oracle
Published By: Box     Published Date: Jul 29, 2019
Most CIOs today understand that digital transformation initiatives can help streamline business process; boost ef?ciency; increase competitiveness; and, broadly, help their organization become disruptive over the long term. Some of the transformation initiatives under way—even in many pace-setting companies—are struggling to manage the exponential explosion of unstructured data and the associated heightened compliance and security demands, however. Fortunately, new solutions that tap arti?cial intelligence (AI) can extract hidden insights from unstructured data, such as documents, images, videos, and audio ?les. AI is also helping automate many of the labor-intensive processes used to classify, organize, and analyze unstructured content
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Box
Published By: Box     Published Date: Jul 29, 2019
Aujourd'hui, la plupart des DSI comprennent que les initiatives de transformation numérique peuvent servir à rationaliser les processus métier, à améliorer l'ef?cacité, à accroître la compétitivité et, globalement, à permettre à leur entreprise de devenir « disruptive » sur le long terme. Cependant, certaines initiatives de transformation en cours (et même dans de nombreuses entreprises de premier plan) se confrontent à des dif?cultés liées à la gestion de l'explosion exponentielle des données non structurées, ainsi que les exigences de conformité et de sécurité accrues qui en découlent. Fort heureusement, de nouvelles solutions basées sur l'intelligence arti?cielle (IA) extraient des informations dissimulées à l'intérieur de données non structurées, telles que des documents, des images, des vidéos et des ?chiers audio. L'IA permet également d'automatiser de nombreux processus fastidieux utilisés pour classer, organiser et analyser les contenus non structurés.
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Box
Published By: Limelight Network     Published Date: Aug 12, 2019
Cyber-criminals are increasingly sophisticated and targeted in their attacks. If you are in charge of ensuring the security of your company’s website, it has not been easy going as these notable security incidents reveal: • Sabre Systems—The reservation software company had data from Hard Rock Hotels, Google, Loews, and others, stolen as a result of the breach1. • CIA—WikiLeaks obtained and published documents detailing the intelligence agency’s hacking efforts1. • Virgin America—Thousands of employees and contractors had their login information compromised1. • Equifax—The credit rating agency had a breach into highly sensitive personal information of 143 million U.S. consumers1. • Universities and Federal Agencies—More than 60 universities and US federal organizations were compromised with SQL injections1. There are numerous lessons to be learned from these breaches. Despite the growing stream of news stories about highly damaging attacks that compromise customer info
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Limelight Network
Published By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
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decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.
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api, application, programming, interface, artificial intelligence, base, encoding, chrome
    
IBM APAC
Published By: Dell EMC     Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
In this article, learn how Dell working with Intel® helps IT leaders overcome the challenges of IT and business alignment, resource constraints and siloed environments through a comprehensive big data portfolio based on choice and flexibility, redefined economics and connected intelligence.
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Dell EMC
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
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Dell EMC
Published By: Websense     Published Date: Jul 08, 2014
A white paper by Websense examining how anomalies in crash reports can be used to detect unknown threats.
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detecting unknown threats, websense, next-generation firewall
    
Websense
Published By: TIBCO Software     Published Date: Mar 15, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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TIBCO Software
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
By processing real-time data from machine sensors using arti?cial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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TIBCO Software GmbH
Published By: Collaborative Consulting     Published Date: Dec 23, 2013
There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.
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collaborative consulting, data warehouse, failed projects, business intelligence, business solution, meet expectations, big data, profile importance
    
Collaborative Consulting
Published By: Collaborative Consulting     Published Date: Jan 15, 2014
When a pharmaceutical company discovered its risks under the new Patient Protection and Affordable Care Act, it turned to Collaborative to comb and consolidate its data. The result: compliance and insight into new business opportunities, too, through a company-wide business data warehouse and enhanced business intelligence.
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collaborative consulting, data, data warehouse, complicane, risk management, business intelligence, consolidation, infrastructure
    
Collaborative Consulting
Published By: Akamai Technologies     Published Date: Aug 17, 2017
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
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cloud security, scale, data center, ddos
    
Akamai Technologies
Published By: Zendesk Ltd     Published Date: Sep 11, 2018
Customers have caught on that support interactions are getting better. When they reach out, they’ve come to expect an instant response that says “we’re here for you”. When they want information, it’s expected to be accurate, up-to-date, and easily accessible. Essentially, they come to expect efficiency during support interactions. As a result, businesses are becoming more cognizant of their self- service offerings. Customers want to be left feeling empowered; it’s even better when they can do so on their own. Self-service saves time for agents, cuts down on organizational costs, and leaves the customer with a positive outlook of a brand. This eBook delves into how AI can enhance your customer self-service offerings with automatically-generated knowledge bases, content cues for your service agents, and chatbots.
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customer service, customer experience, artificial intelligence, chatbots, self-service
    
Zendesk Ltd
Published By: Key Private Bank     Published Date: May 22, 2018
There are obviously a variety of choices open to you: a spreadsheet plug-in may be appropriate if you are only focused on general ledger reporting and do not have concerns over security or compliance. You might also suppose that this is a low-cost option, though we would argue that the remediation required, the additional audit fees and the lack of repeatability means that this is a false economy and that this approach will end up costing you more in the long term. A second use case would be where you already have a financial reporting solution installed, when the add-on facilities for purposes such as business intelligence are likely to be your major focus. In this case an Oracle based solution is likely to be as good as anything else.
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finance, business, planning, integration, strategy, company
    
Key Private Bank
Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management
    
SAS
Published By: SAS     Published Date: Nov 04, 2015
Big data evolution: forging new corporate capabilities for the long term is an Economist Intelligence Unit report, sponsored by SAS. It explores how far along companies are on their data journey and how they can best exploit the massive amounts of data they are collecting.
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sas, big data, big data evolution, economist intelligence unit, eiu, data journey, networking, it management
    
SAS
Published By: HPE     Published Date: Mar 23, 2015
With new technologies, new opportunities often emerge, especially in business. The advent of innovations, such as social media and mobile devices, is changing the ways businesses interact with customers and the ways in which customers desire to be engaged. Opportunities arising from the benefits of salesforce automation, business intelligence (BI), and customer relationship management (CRM) applications are providing new levels of insight, helping businesses acquire customers more efficiently and retain those customers longer. As a direct result, organizations that invest in better understanding potential customers are likely to see higher returns than those organizations that possess a more limited understanding of their customer base. Seeking the competitive advantage resulting from improved customer focus, IT organizations have increased investment in business intelligence and analytics and the underlying infrastructure to support those applications.
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HPE
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