Mention artificial intelligence (AI) to a person on the street, and you'll conjure up Hollywood visions ranging from the humanity-crushing Skynet of the Terminator series to the robot love interests in Her or Ex Machina. Perspectives on the tangible impact of AI similarly range from Elon Musk's declaration of AI as "the greatest risk we face as a civilization" to IBM Chief Science Officer Dr. Guruduth Banavar's belief that "we've never known technology that can have a greater benefit to all of society than artificial intelligence". The reality, especially in the short term, likely lies somewhere between these extremes.

The Cisco UCS solution provides all management and configuration services at the centrally located Fabric Interconnects, so you can manage large-scale deployments from a single location. This method lets you consolidate hardware and streamline management. The IBM Flex System solution uses a distributed management model with chassis-level control. This method adds to the complexity to the hardware configuration, which can increase management needs.

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In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, Evergage, Google, IBM, Localytics, Mixpanel, Optimizely, SAS, and Webtrekk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice.

Forrester's research uncovered a market in which Adobe and Salesforce lead the pack. IBM, Oracle, Salesforce, SAP Hybris, and SAS offer competitive options. Marketo lags but is still a contender.

In our 26-criteria evaluation of digital intelligence (DI) platform providers, we identified the 10 most significant ones — Adobe, Cxense, Evergage, Google, IBM, Localytics, Mixpanel, Optimizely, SAS, and Webtrekk — and researched, analyzed, and scored them. This report shows how each provider measures up and helps customer insights (CI) professionals make the right choice

For the past several years IBM has been divesting its hardware business. At the same time, Oracle has continued to invest in IT infrastructure and cloud innovation. Oracle SPARC servers offer you greater performance and efficiency compared to IBM Power systems, with additional security and lower costs, along with the flexibility to run your applications on-premises or in the Oracle Cloud.

Oracle is making significant engineering investments to ensure that Oracle systems coupled with Oracle software deliver the best possible business results. Integrated hardware, accelerated virtualization, and encryption ensure that cloud deployments benefit from the utmost agility and security without suffering performance losses.

Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.

The global electronics industry is the cornerstone of the digital economy and the Internet of Things (IoT). Electronic devices act as conduits for users’ digital experiences, which are now seamlessly enabled and updated in the cloud. The industry’s digital device success has also introduced its latest challenge: going beyond the device. Leveraging data to drive insights is key to delivering greater value. Doing so requires electronics firms to flawlessly integrate hardware, software, services and data while learning from and adapting to users. Through Digital ReinventionTM, they can combine digital approaches and data by design to drive new capabilities, changing business from the ground up

Automotive firms need to rethink their organizations from the ground up through a process we call Digital Reinvention.

2018 Benchmarking Report

To make the best treatment decisions, doctors at Memorial Hermann required rapid, reliable access to patients medical records and fast insight into changing health indicators. Deploying IBM FlashSystem, physicians at Memorial Hermann can now rapidly access healthcare information and perform sophisticated analysis to identify early signs of illness and take appropriate action for patients 99% faster.

While relying on x86 servers and Oracle databases to support their stock trading systems, processing rapidly increasing number of transactions fast became a huge challenge for Wanlian Securities. They shifted to IBM FlashSystem that helped them cut average response time for their Oracle Databases from 10 to less than 0.4 milliseconds and improved CPU usage by 15%. Download this case study now.

A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English. English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.

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.

Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.

It is imperative that organizations start looking now for smarter solutions to the problems associated with unstructured data. There are many issues related to unstructured data that need to be readily addressed such as storage, discovery, organization, tagging and deduplication. One of the most important issues related to unstructured data is finding and discovering key business insights as quickly as possible, preferably in near real time, to gain a significant competitive advantage.