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Published By: Group M_IBM Q119     Published Date: Jan 10, 2019
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
• Do you want to win with AI in the hybrid, multi cloud world? Are you tackling data, algorithms and apps to drive business value from AI? We got you covered. Come and learn how you can simplify and scale your AI projects on Watson Studio. Hybrid cloud use cases spanning cloud, desktop and local are featured. Key Takeaways: • Open, trustworthy and secure approach to put AI to work for business • Go live and scale faster with AI-infused platform • Build train and deploy models across hybrid, cloud environments – including popular public cloud environments like AWS and Azure • Flexibility for cloud, on-premise and desktop deployment, bringing algorithms to wherever data resides • Progressing your AI/data science with Watson Studio • Register now and get ready to simplify and scale your AI investments to work for your business.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
IBM has established a global readiness programme tasked with identifying the key impacts of the GDPR across IBM’s business and preparing IBM’s internal processes and commercial offerings for compliance with the GDPR.
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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 Q119     Published Date: Jan 04, 2019
Supply chains are the lifeblood of a business, impacting everything from the quality, delivery and costs of an organization’s products and services, to customer service and satisfaction, and ultimately profitability.
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Group M_IBM Q119
Published By: IBM Watson Health     Published Date: Dec 20, 2018
In this webinar, experts discuss how data and analytics can be applied to improve health program outcomes and how social determinants of health affect risk. It includes a case study on how the application of advanced analytic methods helped to decipher the impact of high-priced specialty drugs on the overall population. The experts also address how artificial intelligence can drive better decision-making, improve population health and cut costs.
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government, health and human services, artificial intelligence, data, cognitive insights, long-term care, case study, analytics, social program management, spm, healthcare technology, high-priced drugs, specialty drugs, population health
    
IBM Watson Health
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
We are renegades and realists who blend strategy, technology and creativity to tackle every client challenge. We imagine the businesses that will shape tomorrow’s world and help our clients make them real. We uncover insights from data that others can’t see and deliver progressive ideas through the use of IBM Design Thinking. We ground every strategy with a focus on delivering the ultimate experience – for customers, for employees, for shareholders. Everything we do drives measurable impact at scale. For more information, visit ibm.com/ibmix
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
Car-sharing, ride-sharing and ride-hailing aren’t new. Uber and other personal mobility services have redefined how people move from place to place. And now these services are beginning to redefine traditional car ownership itself. As people move from one vehicle to another, their personal information and preferences need to follow them, so the car they use feels like their own. Blockchain is defined as a shared, immutable ledger, and it can address many of the challenges that new types of personal mobility present.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
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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: Dec 20, 2018
While it might be desirable to standardize end users on one or two types of devices that all run the same operating system, most organizations don’t have that luxury. Today’s users demand an extraordinary level of flexibility and convenience—which means most organizations support a vast assortment of endpoints, including laptops and desktops (both PCs and Macs), tablets and hybrid devices, smartphones, and even wearables and IoT devices.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
Today’s mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
The security information and event management (SIEM) market is defined by the customer's need to analyze event data in real time for the early detection of targeted attacks and data breaches, and to collect, store, analyze, investigate and report on event data for incident response, forensics and regulatory compliance. The vendors included in our Magic Quadrant analysis have products designed for this purpose, and they actively market and sell these technologies to the security buying center.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
In our 30-criteria evaluation of security analytics platforms providers, we identified the 13 most significant ones — AlienVault, Exabeam, Fortinet, Gurucul, Huntsman Security, IBM, LogRhythm, McAfee, Micro Focus, Rapid7, RSA, Securonix, and Splunk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps S&R professionals make the right choice.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
Over the years, IBM Resilient customers have increased their IR sophistication at various levels across a spectrum of maturity. Maturity levels are often necessitated by industry, available resources, or experience, but most IBM Resilient customers continually look to evolve their IR function into a more advanced phase.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 20, 2018
Security leaders across all industries face mounting challenges. Cyberattacks are continually growing in volume, complexity, and sophistication, and incident response (IR) teams are pushed to the limit of their time, skill, and resources. Additionally, the average Security Operation Center (SOC) uses more than 75 different security tools – making full visibility nearly impossible and integrating those tools challenging as well.
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Group M_IBM Q119
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: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open pla
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
A technology-enabled business strategy such as digital transformation (DX) makes it possible for firms to expand their competitive differentiation in the market. Although disruptive, DX requires firms to effectively and efficiently combine (technology) platforms, (business) processes, (data) governance, and (people) talent to gather deep and timely insights from data and actuate these insights to optimize business operations, develop new and innovative products and services, and transform customer engagement.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
There’s some banter about IBM Power Systems not being optimized to run Oracle software. That simply isn’t true. In fact, IBM has engineers on-site at Oracle working side-by-side with them to enable, optimize, certify, and continually deliver solutions to our tens of thousands of joint customers.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years.
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Group M_IBM Q119
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.
Tags : 
    
Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
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