Friday Gadget: Rapport Device Detects and Reacts to Human Emotions

I’ve decided to bring back the Friday Gadget posts after a very long absence. 

I am not really a gadget guy, but I do like to think about what types of products future generations will have that will make their life easier and think about how emerging technologies will be a part of our lives in the future. When I first started blogging back in 2006, every Friday I would post about a concept for a future technology or gadget.   The series of posts were designed to help us all take a step back on a Friday, have a little fun, and help us all imagine how technology can disrupt the future. 

So I am bringing back the Friday Gadget posts.  I am not sure how long the series will last this time, but we will have fun with it while it lasts…

For this first new post , I found a project team that asked the question:  What if your gadgets knew how you were feeling and could then respond appropriately?   A group of designers developed a device they call Rapport that can observe, analyze and react to your facial expressions in order to select a music playlist that suits you the best.  Once you make eye contact with the device, it leans forward and analyzes your facial expression. Taking into account the time of day, it selects a song that it feels might suit your current mood.   The Rapport device starts the playback of the song at a fairly low volume, but will boost the volume if it sees you smiling or excited.

Under the covers, the team utilized 4 different software programs including Visual Studio (stores the facial recognition library and eye tracking code), Processing (runs the facial recognition library), Max/Msp(controls volume and curates music) and Arduino (drives the stepper motors inside the device).

Potential initial applications could include smart homes, retirement homes, entertainment events, and education.  In the future, application developers will utilize emotion detection systems to design robots that understand how better to interact with humans.   Over time robots could learn to understand how different humans react emotionally and treat each person differently based on both visual and auditory inputs. 

For more, check out these resources:   1) Rapport Introduction (Youtube), 2) Rapport Demonstration (YouTube), 3) Emotional Intelligence (Yanko Design), 4) Feeling the Music;  Gadget Reads Emotions to Choose Songs (Gajitz)

Business Analytics Trends and Prediction Articles for 2014

Leading-edge businesses are already embracing advanced analytics solutions and services that can help them identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and identify the true drivers of financial performance. These leading-edge businesses will be successfully prepared for the cognitive systems era.

I recently published my trend report Business Analytics:  Trends to Watch in 2014 out on slideshare.   The report provides an overview of Big data and what to watch in 2014.  Below I’ve provided you some articles on this trend that I thought you would want to read.

Source Title
B2C Business 2 Community 2014 – The Year of Predictive Analytics for SMBs
Information Week IT Must Deliver Visual, Mobile-Friendly Data Analytics
Enterprise Apps Today Top Business Intelligence Trends For 2014
Heather Hiles (Pathbrite) Big Idea 2014: Move Over, Big Data—It’s Time for Personal Analytics
Forbes Five Business Intelligence Predicitons for 2014
Cloud times Predictive Analytics is the Next Growing Sector in Big Data Market
International Institute for Analytics Forecasting the Future of Analytics: 2014 Edition
IIIA (IIA) Announces Nine Analytics Predictions for 2014
Information Management 11 Data Visualization Experts You Should Follow on Twitter
Revolution Analytics 14 Analytics Predictions for 2014

 

Big Data Trend and Prediction Articles for 2014

Our appetite for creating, gathering, and storing data continues to grow and grow and grow. This appetite and resulting information explosion is creating all sorts of challenges for information management professionals everywhere. This trend called Big Data. Big Data is an important trend to get right as it lays the foundation for the cognitive systems era we are about to enter.

I recently published my trend report Big Data: Trends to Watch in 2014 out on slideshare.   The report provides an overview of Big data and what to watch in 2014. Below I’ve provided you some articles on this trend that I thought you would want to read.

Source Title
ZDNet Predicting Big Data’s 2014
EMC Tech Predictions for 2014:  Bringing Hadoop to Your Big Data
Inside BigData Big Data Predictions for 2014
EnterpriseApps Today Top Big Data Trends For 2014
Forbes $16.1 Billion Big Data Market: 2014 Preditions from IDC and IIA
Information Week IBM’s Predictions: 6 Big Data Trends In 2014
BCW Big Data Predictions For 2014
Source Talk Five 2014 Big Data Predictions from a Chief Data Officer
Forbes Five Business Intelligence Predicitons for 2014
Thought Experiments 2014: The Year of Data Disruption

 

Internet of Things (IoT) Trend and Prediction Articles for 2014

The Internet of Things (IoT) is made up of physical objects (“things”) that have chips, sensors and actuators embedded in them that allow the sensing, capturing and communication of all types of data. These devices are then linked through both wired and wireless networks to the Internet. The IT challenge is to design IoT enabled systems and then leverage the information collected as a tool to help decision makers make better decisions.

I recently published my trend report Internet of Things: Trends to Watch in 2014 out on slideshare.   The report provides an overview of Internet of Things (IoT) and what to watch in 2014. Below I’ve provided you some articles on this trend that I thought you would want to read.

Source Title
InterSog How wearable technology will change future mobile paradigm [Part 1]
ComputerWorld.IN Internet of Things: 2013 Highlights & Outlook 2014
CNBC Wearable tech: What it needs to be a game-changer
Credit Suisse The Future of Wearable Technology
ZDNet AT&T’s predictions for the enterprise in 2014
Cisco Predictions 2014: Wager on the Internet of Everything
Digital-MR Driving Better Business Decisions With Social Media Research And The Internet Of Things
Forbes Credit Suisse Says Warable Tech The Next Big Thing
InfoTales 5 Things to Look Forward to in the Future of Wearable Technology
MsM News Will the ‘Internet of things’ be a thing in 2014?

 

Business Analytics: A 2013 HorizonWatching Trend Report

Analytics continues to be an important trend in the IT Industry and those companies that focus on establishing a strong analytics capability will be more competitive in the future.

The amount of Big Data being created, collected and stored with our IT infrastructures is growing exponentially. New streams of digital, social, and sensor sourced data is now filling up databases and data warehouses. At the same time, executives are wanting and needing deeper knowledge and insights on all aspects of their business. The execs know that the data exists within their data center that can help them make better business decisions but they need the capability to be able to harvest insights that will help them make better decisions. 

Leading-edge businesses are embracing advanced analytics that can help them identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and identify the true drivers of financial performance.

Trends in Analytics for 2013

There’s so much going on in the field of business analytics.  Here are a few of the important trends to watch in 2013

  1. Customer Analytics: Personalized, cross-channel, customer-driven analytics will drive new focus on delivering individualized, personalized digital experiences 
  2. Mobile Analytics. Increased use of mobile will drive requirement for analytics applied to mobile generated data
  3. Social and Textual Analytics. Moving beyond batch listening, Social Business Managers want to be able to analyze social conversations and influencer networks in real time.
  4. Predictive Analytics: New innovative applications of advanced algorithms and modeling techniques will advance the science of predictive analytics.
  5. Real-Time Analytics. As decision makers get a taste for what can be done, they will want that information faster…..and eventually in real time
  6. Interest Grows in Data Visualization: Enterprises learn that managing and extracting insights from Big Data is not enough…you need to be able to display the insights for decision makers.
  7. Self- Service: Decision makers will increasingly want access to simple to use analytic tools that provide visualization rich output. Oh….and they want that output on their tablet.
  8. Hadoop matures: Hadoop functionality improves and CIOs begin to consider it for mission critical applications
  9. Data Scientists: There will be a rush to hire skilled Big Data Scientists, often via services like Kaggle.
  10. Education and Training: Big Data & Analytic Services firms will offer extensive training and certification programs to try to help fill the shortages of skilled Data Scientists.

My Business Analytics Trend Report

For more, check out the SlideShare embed below

Big Data: A 2013 HorizonWatching Trend Report

I’ve embedded my slide deck from Slideshare titled Big Data:  A 2013 HorizonWatching Trend Report below.  This 2013 HorizonWatching Trend Report provides an overview on the Big Data trend.  Summary information about the Big Data trend is provided along with many links to additional resources. 

So what is Big Data?  To me, it refers to how we collect, store, and manage information that comes into an enterprise so that it can be harvested for analysis, insight generation, and decision making.

Big Data is hot right now because 10-15 years ago data was coming in from just a few sources, mainly customer transactions, supply chain transactions, and employee payroll.   Today, data is coming in from everywhere, including other computers and sensors.  In addition,  the huge growth of videos, pictures, audio, social media and other unstructured data is taxing the storage systems and information databases of many data centers.  IT and Business Leaders are trying to figure out how to manage Big Data and leverage it for analysis and decision making.

Trends in Big Data for 2013
Below is a list of 10 trends to watch out for in 2013 around the Big Data topic.

  1. Definition Does Not Matter: The focus turns towards implementation and value
  2. Cost as a Big Data Benefit:  Case studies demonstrate ROI of Big Data.  It is leaner, significantly reduces data integration costs, and opens the door for data exploration
  3. Analytics and Visualizaton: For those implementing Big Data, there will be an increased interest in Analytics and Visualization capabilities.
  4. Data Scientists:  There will be a rush to hire skilled Big Data Scientists, often via services like Kaggle, who are specialist in designing how a firm collects, stores, and manages big data.
  5. Increased Competition: IBM, EMC, SAP, SAS, and Oracle all increase competitive efforts, leading to better solutions and services
  6. Big Data as a Service:  Service Providers emerge to handle the whole stack.
  7. Data Protection:  CIOs implement automated systems to handle all replication, deduplication, backup, and restoration.
  8. Followers Left in Dust:  Organizations that do not implement Big Data solutions risk loosing their competitive edge.
  9. CMOs overwhelmed:  CMOs are not prepared to handle all the big data.  In 2013 marketing needs to learn to work better with IT
  10. Education and Training:  Big Data Services firms will offer extensive training and certification programs to try to help fill the shortages of skilled Data Scientists.

Get the full report below

Big Data Resources: IBM Websites, Social Platforms, White Papers and Presentations

Big data Big Data has emerged as an important trend for enterprises.  Big Data refers to how we collect, store, and manage information that comes into an enterprise so that it can be harvested for decision making. 

The reason it is an important trend is that not only has the amount of data been increasing rapidly, but the type of data has been changing dramatically. 10-15 years ago data was coming in from just a few sources, mainly customer transactions, supply chain transactions, and employee payroll. Today, data is coming in from everywhere, including other computers, mobile devices, cameras, and sensors. In addition, the huge growth of videos, pictures, audio, social media and other unstructured data is taxing the storage systems and information databases of many data centers.  These trends continue to put pressure on IT departments to determine how best to design the storage infrastructure and the database warehouses in order to make it easy for the analytic tools to harvest the data for decision making.

There’s much to learn about the Big Data trend.  It is causing disruption not only in the technology tools themselves, but the processes and skills required to make sense of all the data and turn it into insights that can be used for decision making.  

To help you learn more about this trend, I’ve assembled the list of resources below.   There are links to current reports, websites, and social accounts all developed and managed by IBM.  If you see something that is missing, let me know and I will revise this post.

IBM Websites 

IBM Accounts on Social Platforms

IBM White Papers, Presentation and Other Content

Analytics: IBM Websites, Reports, White Papers and Social Sites

Smarter Analytics Analytics is a hot trend in the industry, mainly because the amount of data that is available to business users has grown exponentially.  Today’s businesses must deploy new analytical solutions to produce the required intelligence and insight necessary for the business to succeed in an increasingly competitive environment.  Leading-edge businesses are embracing advanced analytics that can help them identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and identify the true drivers of financial performance.

I see analytics being an important trend now for many years in the future.   The way I see it, the amount of data being created and stored will continue to increase (does anyone really think it is going to decline?).  Businesses that learn how to manage and analyze all that data and make it available in a format that executives and business users can make decisions from will be one step ahead of competition.  Certainly, if your company does not have a good strategy for analytics, then your leaders will be making decisions based more on gut feel vs. facts.

IBM has clearly called out analytics as an important trend for the company going forward.   So, as a service here to readers of this blog, I am providing direct links to IBM websites and the most current reports related to the Analytics trend.  The reports and sites below are all hotlinked.  If you see something that is missing, let me know and I will revise this post.

IBM Analytics Websites

IBM Analytics on Social Platforms

IBM Institute for Business Value Reports

IBM Redbook Redguides

Other IBM White Papers & Reports

 

A Primer on Advanced Business Analytics

The explosion of data that is taxing storage systems is also driving the requirement for advanced business analytics.  With all that data being created, collected and stored with our IT infrastructures, business leaders want the capability to be able to harvest insights that will help them make better decisions.  While information overload was once a barrier to good decision making, today’s technology and analytics expertise make it a real benefit.

Business leaders are yearning for deeper knowledge and insights on all aspects of their business and they know that the information they need is available within all the data flowing through the company IT systems.  The growth of social conversations and content across the many online channels is providing business leaders with a never ending stream of incoming data.  The challenge is to turn all that data into insights and then develop strategies/actions based on those insights. 

Advanced analytics solutions can help business leaders adopt a proactive versus reactive strategy, enabling them to predict future behaviors and events before they occur.   Insights generated can help business leaders optimize individual business decisions, processes and entire business models, as well as manage risk and fraud, with the goal of improving the development and delivery of products and services. Analytic applications are also being used to help marketing leaders understand customer buying preferences. Advanced analytics also involves new technologies to search unstructured content and other search enhancements.

As with any advanced technology, its not just the analytic tools themselves that are important, advanced analytics can require new processes and new skills. In fact, businesses will need help understanding how to insert analytics into all business processes. Every process also has the potential for the application of analytics to improve decisions or to selectively adjust the process itself to handle out of normal situations.

Determining the appropriate combination of analytical techniques and the different aspects of the process they can support, will become a critical domain skill for business process managers and developers across every organization.

Advanced Analytics encompasses more than just Business Intelligence. Business intelligence mainly provides us historical analysis, but also increasingly incorporates powerful ways of analyzing what has already happened. We can increase the scope of the information that is analyzed and we can reduce delays between the data creation and its analysis, but at heart this is a look backwards.

Advanced Analytics solutions help us look into the future, predicting what can or will happen. We don't want to only spot past patterns of suspicious activity that might indicate fraud had already occurred. Think of the additional value if we could look at an action as it is taking place, predict the results, spot the fraud that will ensue and be able to stop it before it materializes. What if we could predict the likely sales in a store from remaining inventory for various possible purchases at this moment, and offer inducements to a customer to pick the product right now that maximizes likely total revenue?

So it is not surprising that leading companies are interested in using Advanced Analytic solutions to give them a competitive advantage. In 2011, I expect to see increased interest in advanced analytic capabilities that can identify, analyze and describe patterns within all the information “noise”, giving business leaders important predictive insights they can use for making better decisions.  In 2011 look for advancements in streaming technologies, mathematical algorithms and predictive modeling as applied to business analytic solutions.

Quotes from the Marketplace

Analysts have forecasted that the business analytics market will continue to grow at a good pace over the next ten years.  Here are some quotes from the buzz in the marketplace around the analytics topic.

“IDC forecasts the business analytics market to grow at a compound annual growth rate (CAGR) of 7.0% over the 2009-2014 forecast period with even greater growth expected over the next ten years.” – IDC (Link)

“Predictive analytics allows us to leverage unsolicited and unbiased customer feedback and strategically improve our business. We now can also monitor competitor and industry websites, including blogs and news feeds, and other publicly available textual information to maintain a current view and better understand how the public perceives our competition – Nino Ninov, vice president of strategic research and analysis at Rosetta Stone (link)

“Predictive analytics software allows us to uncover greater insight into our membership and identify areas of opportunity to increase our satisfaction levels. Increasing awareness of our products and services, and also creating new offerings that meet our members' changing needs and behaviors has lead to better service and member understanding, and more strategic decision making.“ – Alan Payne, manager of member research and development at Navy Federal Credit Union (link)

“Top-performing companies are three times more likely than lower performers to be sophisticated users of analytics, and are two times more likely to say that their analytics use is a competitive differentiator.“  – MIT Sloan Management Review (link)

“As the benefits of business analytics become better known, especially among executives, the demand for a wider range of solutions and services will create new opportunities and drive the market to new heights.” – IDC (Link)

“The new step is to provide simulation, prediction, optimization and other analytics, not simply information, to empower even more decision flexibility at the time and place of every business process action. The new step looks into the future, predicting what can or will happen.” – Gartner (link)

“Success with business analytics requires more than the data and algorithms. It requires a company culture committed to using information for breakthrough ideas and operations.“ – IBM Website (link)

Drivers of this Trend:

  • Explosion of raw data
  • CIOs want to enable smarter decisions within the enterprise.
  • There is substantial value achieved by making smart data-driven decisions.
  • Continued advances in analytics algorithms, modeling, & capabilities
  • Increased need for integration and combination of data

Challenges as we Adopt Analyitics Solutions:

  • Dealing with complex metadata: Unstructured, semi Structured, usage patterns
  • Data comes from many different sources (web, search, video, mobile, and social conversations).
  • Security, performance, scalability
  • Analytic tools tend to be too complex, requiring specialized resources.

Implications

  • Analytics services need to be designed for business users.
  • Analytics need to be inserted into all business processes
  • Training may be required for business process managers and developers
  • The ability to pull value from data can lead to competitive differentiation.
  • How can business leaders swiftly put predictive models in action, so they deliver value rather than simply being an intellectual exercise?

For More Information