artificial intelligence

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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: TIBCO Software     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial 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
Published By: TIBCO Software     Published Date: Jul 22, 2019
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today’s market. Now there has been a shift away from these “black box” applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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TIBCO Software
Published By: CheckMarx     Published Date: Jun 07, 2019
Artificial Intelligence (AI) software is everywhere being leveraged by many industries such as healthcare, fintech, and e-commerce. But how does AI impact the security space? Join Maty Siman, Checkmarx Founder and CTO, to get both a white hat and black hat perspective to AI and security.
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CheckMarx
Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel
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: Group M_IBM Q119     Published Date: Dec 20, 2018
Ponemon Institute is pleased to present The Value of Artificial Intelligence in Cybersecurity sponsored by IBM Security. The purpose of this research is to understand trends in the use of artificial intelligence and how to overcome barriers to full adoption.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Jan 04, 2019
Digital transformation is poised to change the supply chain more profoundly than any other functional area and more dramatically than at any point in its history in terms of driving efficiency and resiliency to disruption. In the context of the challenges facing supply chains, both now and in the future, it becomes clear that the old ways of working will not suffice and that even best-in-class performance today is unlikely to be good enough in the future. It is the view of IDC that the supply chain must become a "thinking" supply chain, one that is intimately connected to all data sources, enabled with comprehensive and fast analytics, openly collaborative through cloud-based commerce networks, conscious of cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
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Group M_IBM Q119
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Organizations in the global industrial products industry face significant challenges: cost pressures, increased regulations, disruptive technologies and the increasingly costly delivery of raw resources. High volatility in commodity prices has put severe pressure on company margins and can quickly expose inefficient operations.
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Group M_IBM Q3'19
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: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19
Published By: Group M_IBM Q4'19     Published Date: Oct 22, 2019
Data is the fuel for innovation and sustaining a competitive advantage. It’s the key ingredient for driving analytics and artificial intelligence (AI) initiatives. Unlocking the value of your data in new ways can accelerate your journey to AI. Yet when data-related projects fail to deliver the promised ROI, stakeholders want to know why. According to Experian’s2019 Global Data Management Research report, 89 percent of businesses report that they struggle with managing data, these struggles include delays in insight and a lack of trust in underlying data.
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Group M_IBM Q4'19
Published By: Salesforce     Published Date: Oct 30, 2019
For the third edition of our “State of Service” report, Salesforce Research surveyed over 3,500 customer service agents and decision makers worldwide to determine: • Service organizations’ biggest challenges and priorities • The changing role of customer service agents • The impact of artificial intelligence (AI) on the future of customer service • How mobile workers fit into modern customer service
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Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
Please note that this piece of content is in local language. For the third edition of our “State of Service” report, Salesforce Research surveyed over 3,500 customer service agents and decision makers worldwide to determine: • Service organizations’ biggest challenges and priorities • The changing role of customer service agents • The impact of artificial intelligence (AI) on the future of customer service • How mobile workers fit into modern customer serviceFor the third edition of our “State of Service” report, Salesforce Research surveyed over 3,500 customer service agents and decision makers worldwide to determine: • Service organizations’ biggest challenges and priorities • The changing role of customer service agents • The impact of artificial intelligence (AI) on the future of customer service • How mobile workers fit into modern customer service
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Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
Please note that this piece of content is in local language. For the third edition of our “State of Service” report, Salesforce Research surveyed over 3,500 customer service agents and decision makers worldwide to determine: • Service organizations’ biggest challenges and priorities • The changing role of customer service agents • The impact of artificial intelligence (AI) on the future of customer service • How mobile workers fit into modern customer service
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Salesforce
Published By: Salesforce     Published Date: Oct 30, 2019
For the third edition of our “State of Service” report, Salesforce Research surveyed over 3,500 customer service agents and decision makers worldwide to determine: • Service organizations’ biggest challenges and priorities • The changing role of customer service agents • The impact of artificial intelligence (AI) on the future of customer service • How mobile workers fit into modern customer service
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Salesforce
Published By: Mist Systems     Published Date: Jun 19, 2019
For centuries, new technologies have ushered in entirely new eras of progressive change in all facets of life, and have revolutionized countless industries. The invention of the steam engine brought about the industrial revolution and expanded trade and transportation. Quantum physics was the foundation of the electronics revolution that brought us transistors, TV, radio, and computers. And the Internet has brought about a stunning information and communication revolution, which is still sending shock waves across virtually every industry, and to the very core of our cultures and lifestyles.
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Mist Systems
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Both are fueled by a drive for progress, for pushing boundaries and advancing the status quo. In these fields, new trends are like a currency. Keeping ahead of the next big trend means being aware of the next big seller and allocating all the right resources – fashion design, manufacturing, and marketing – for maximum impact. Miss the hype and the next fashion season is bound to hurt the bottom line. New trends are also important to marketers because owning a new trend is a way to differentiate in today’s fast-moving digital landscape. It’s a way to stand out from the pack by investing strategically in the right approaches and technologies at the right time, then reaping the benefits organically by leading where others follow. Naturally, making these decisions requires a bit of trial and error. Nobody has a magic crystal ball that guarantees success. But as a rule of thumb, the companies winning in digital marketing are the ones willing to adopt new technologies while keeping an sharp.
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2018, marketing trends, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
What does it take to be relevant today? In the era of hyper-connectivity, consumers have become entitled, demanding more control over their experiences and expecting that marketers use data and insights to create a seamless, relevant brand experience. Research shows that communications containing relevant information and offers are the best drivers of brand loyalty and conversions
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insight marketing, customer engagement, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
Published By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Context can make or break the communication – and, ultimately, the relationship – between a consumer and a brand. Today’s consumers expect relevant communications that speak directly to their needs in the moment. We have the technology today to deliver such messages – but there are significant barriers to developing relevant, contextual programs of this kind. Some of the development challenges represent new versions of old challenges. Take data as an example: it has always been hard to harness data from different sources and to leverage insights in real time. But today, there are additional opportunities – if not expectations – for marketers to use contextual data to better reach and engage customers through the optimal channel(s).
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data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
    
Selligent Marketing Cloud
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: Selligent Marketing Cloud     Published Date: Sep 24, 2019
A.I. IS UNLOCKING THE HYPER-PERSONALIZED FUTURE OF MARKETING
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Selligent Marketing Cloud
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