Cognitive Search Is The AI Version Of Enterprise Search

Mike Gualtieri

Cognitive SearchWritten by Emily Miller, Senior Research Associate

Stop Wasting Time

More than half (54%) of global information workers are interrupted from their work a few times or more per month to spend time looking for or trying to get access to information, insights, and answers. The problem: Old keyword-based enterprise search engines of the past are obsolete. Cognitive search is the new generation of enterprise search that uses artificial intelligence (AI) to return results that are more relevant to the user or embedded in an application issuing the search query. Forrester defines cognitive search and knowledge discovery solutions as

A new generation of enterprise search solutions that employ AI technologies such as natural language processing and machine learning to ingest, understand, organize, and query digital content from multiple data sources.

Cognitive search solutions are different because they:

  • Scale to handle a multitude of data sources and types.Search is no longer just about unstructured text contained in documents and web pages. Cognitive search solutions can also accommodate structured data contained in databases and even nontraditional enterprise data like images, video, audio, and machine data such as from internet-of-things (IoT) devices.
  • Employ artificial intelligence technologies. The distinguishing characteristic of cognitive search solutions is that they use natural language processing (NLP) and machine learning to understand and organize data, predict the intent of the search query, improve relevancy of results, and automatically tune the relevancy of results over time.
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Five Factors That Make Deep Learning Different - Go Deep Baby!

Mike Gualtieri

At the highest conceptual level, deep learning is no different from supervised machine learning. Data scientists start with a labeled data set to train a model using an algorithm and, hopefully, end up with a model that is accurate enough at predicting the labels of new data that is run through the model. For example, developers can use Caffe, a popular deep-learning library, to train a model using thousands or millions of labeled images. Once they train the model, developers can use it within applications to probabilistically identify objects in a new image.  Conceptually like machine learning, yes, but deep learning is different because:

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AI Is Not An Exception – Technology Has Always Taken Jobs

Mike Gualtieri

Yes, AI will take jobs away from many workers - our relatives, friends, and neighbors. So too have all technologies created throughout human history. We invent things to make things easier and the impossible possible. The invention of the wheel made transport easier. Gutenberg’s printing press put lots of monk’s out of business. The chainsaw saw a reduction in the number of sawyers (lumberjacks). Modern medicine created a sharp decrease in snake oil charlatans. The Wang word processor annihilated typing pools. The list goes on. Technology changes how and who performs work, but it also enables new work that no one ever imagined. AI is but another technology in a long list of technologies dating back to the blunt club.

The culprit is gray matter

It is human intelligence. There is nothing that can stop it. But, it is that same gray matter that finds a way – a way for humanity to flourish – at least statistically. If life is precious, then the last hundred years have seen a dramatic increase in life expectancy. According to the National Institute On Aging, the most dramatic and rapid gains have occurred in East Asia, where life expectancy at birth increased from less than 45 years in 1950 to more than 74 years today.

AI will short-term replace workers just as all technology has, but longer term it will raise wages as human workers become exponentially more productive because their efforts are augmented by intelligent machines – non-human servants.

We can go back or we can go forward. Let’s go forward.

Reflections On Huawei’s Analyst Summit 2017 — Past, Present, And Future

Dan Bieler

In April 2017, Huawei hosted its annual Analyst Summit in Shenzhen, China. Huawei’s financial year 2016 was remarkable as the group grew revenues by 32% to US$ 75 billion, making Huawei the largest global network solutions vendor by revenues, way ahead of its traditional competitors Cisco, Nokia, and Ericsson. This calls for some reflections about Huawei’s journey, its past achievements, and its current focus areas. This will help us to understand where Huawei might be heading in the future.

I have been following Huawei for over 10 years. Over this short timeframe, I have seen Huawei grow into the largest global telco network infrastructure vendor, becoming a leading global smartphone manufacturer, migrating from a low-cost hardware manufacturer toward an innovative product developer, ramping up its service capabilities, moving into delivering products and services to the enterprise segment, and pushing into software development.

These achievements underline that Huawei has achieved an awful lot since rising from its humble beginnings as a producer of phone switches in Shenzhen in 1987. For years, its core competitors have underestimated the capabilities and determination of Huawei to succeed. At the Huawei Analyst Summit 2017, I picked up three key focus areas for Huawei in 2017:

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Bosch Connected World 2017 – Lessons From IoT Practitioners

Dan Bieler

With Paul Miller

In March 2017, Bosch hosted its annual internet-of-things (IoT) conference, Bosch Connected World (BCW), in Berlin. Since last year, the event has doubled in size, attracting 2,500 attendees from businesses and vendors. This jump reflects the growing interest in IoT. The number of attendees, however, also highlights the relative immaturity of IoT compared with bigger technology themes. Despite being smaller than events such as GE’s Minds + Machines or Mobile World Congress, BCW has established itself as a premier IoT event, as it has a very distinct “IoT practitioner” feel to it. We took away some key observations for IoT practitioners from the event:

  • To succeed in IoT, you must build and participate in open ecosystems. No vendor or end user can plan, build, and run end-to-end IoT operations that address the entire customer life cycle. This message comes through loud and clear at all the IoT events that we attend, be it IBM’s Genius of Things or GE’s Minds + Machines, and it was repeated by all the BCW speakers. The notion of coopetition was tangible, with Bosch emphasizing its partnerships with IBM, Software AG, Amazon, GE, SAP, and many more. Also noticeable was that all ecosystem participants are grappling with what it means for the shape of their business and their relationship with the customer.
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Introducing Content Intelligence

Ryan Skinner

A riddle: What's the difference between your content and mashed potatoes?

Answer?

Nothing.

To the technologies that host and deliver your content, the stuff they deliver may just as well be mashed potatoes as text strings or image files.
Even marketers who spend lots of time tagging content know the process is very fallible, often out of date, and only applicable to a handful of pre-selected contexts.

The technology simply doesn't know what the content's actually about, or how it works. It's just content.
Mashed potatoes.

The same applies to marketers across the business.
That great video explainer that got made two years ago during another CMO's tenure?
It may as well be a little portion of mashed potatoes buried under a mountain of other mashed potatoes.

Enough of the metaphor. You get it.

Content intelligence changes all that.
It is technology that helps content understand itself - what it's about, how it speaks, how effective it is at accomplishing certain goals, what emotions it calls to mind, etc.

That may sound funny. It is. But it's not necessarily stranger than spellcheck in your word processor.
Thanks to a built-in dictionary, the processor knows that 'recieve' may not be right, and puts a little red line under it.

Content intelligence goes a bit further, in that it's continuously updating itself.
Iimagine a very smart dictionary that automatically absorbed neologisms and understood word choice given context ("you might want to say 'car' here instead of 'automobile'").
But the principle's the same.

And because content's the coin of the digital realm for all things marketing these days, content intelligence delivers a real kick:

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Why You Need To Attend Consumer Marketing Forum 2017

Carlton Doty

To be blunt, if you miss this event, you’ll be sorry. Sure there are loads of marketing conferences out there, but Forrester’s Forums clear the clutter and help you focus on the issues that matter most to your success. Last year, we told you that we're in a post-digital world now, and that marketing must adapt to new rules. This year, on April 5-7, we'll show you exactly how to do that and more. Whether you’re developing and refining your marketing strategy to engage today’s empowered consumer, or your planning the next investment in your Martech application portfolio, Forrester’s Consumer Marketing Forum will be the smartest investment of time that you’ll make this year. Here’s a just few highlights:

  • Learn exactly how consumers’ behaviors are changing. Analyst Anjali Lai will share Forrester's Empowered Customer segmentation.
  • Discover how to avoid the illusion of insights. VP and Research Director Sri Sridharan will show you how to avoid potential pitalls in your question to become and insights-driven business.
  • Reveal what really matters in Martech and Adtech. VP and Principal Analyst Joe Stanhope will bring clarity to the chaos of an unhealthy technology ecosystem. 
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Mobile World Congress 2017: Observations Regarding The Main Enterprise Themes

Dan Bieler

Recently, the largest annual get together of the mobile industry, Mobile World Congress (MWC) took place in Barcelona. In my opinion, the biggest themes at MWC in 2017 that are relevant for enterprise customers were the internet of things (IoT), artificial intelligence (AI), platforms, collaboration, and connectivity. These themes underline how mobility is becoming part of the broader digital transformation initiative. I discuss this shift in this separate blog and report. MWC provided several valuable insights for business and technology leaders to align their mobile to their digital strategies:

-> Not everything that claims to be AI is true AI. Many vendors that claimed during MWC to be AI-proficient are in fact able to deliver true machine-learning solutions to generate transformative customer and operational insights. Most solutions that were branded as AI at MWC rely on preprogrammed responses and statistics rather than machine learning.

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AI's Emerging Role In IoT Highlighted At IBM Genius Of Things Event

Dan Bieler

Photo: Bergman Group

IBM hosted an artificial intelligent (AI) event at its Munich Watson IoT HQ, where it underlined its claim as a leading global AI and internet-of-things (IoT) platform providers in the enterprise context. AI and the IoT are both very important topics for enterprise users. However, there remains some uncertainty among enterprises regarding the exact benefits that both AI and IoT can generate and how businesses should prepare for the deployment of AI and IoT in their organizations.

One year into the launch of its Munich-based Watson IoT headquarters, IBM invited about one thousand customers to share an update of its AI and IoT activities to date. The IBM “Genius of Things” Summit presented interesting insights for both AI and IoT deployments. It underlined that IBM is clearly one of the leading global AI and IoT platform providers in the enterprise context. Some of the most important insights for me were that:

  • AI solutions require a partner ecosystem. IBM is well aware of the fact that it cannot provide IoT services on its own. For this reason, IBM is tapping into its existing partner ecosystem. Those partners are not only other vendors. IBM’s ecosystem partnership approach embraces also customers such as Schäffler, Airbus, Vaillant, or Tesco. The event demonstrated how far IBM has matured in living and breathing customer partnerships in the IoT solutions space. For instance, IBM’s cooperation with Visa regarding secure payment experiences for any device connected to the IoT is an example of a new quality of ecosystem partnership.
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AI Makers Will Squelch Free Speech

Mike Gualtieri

Artificial intelligence (AI) is real, albiet maturing slowly. You experience it when you talk to Alexa, when you see a creepily-targeted online ad, and when Netxflix turns you on toArtificial Intelligence Stranger Things. Oh yea, and that self-driving car over there is AI super-powered! AI is indeed cool, but many are scared about how it ultimatley may impact society. Stephen Hawking, Elon Musk, and even the Woz warned that "...artificial intelligence can potentially be more dangerous than nuclear war." In a nutshell, they are concerned about AI that may evolve to outsmart humans and kill people - a valid concern. But, I have another more terrifying concern that would likely be an insidious precursor to runaway, killer AI.

Billionaires And Tech Giants Will Censor AI

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