Paul Ormonde-James 2014 CYBERTREKING.COM By Paul Ormonde-James January 2014 The future is closed than you think. COM

Paul Ormonde-James 2014 CYBERTREKING.COM If we cannot embrace change, we will not survive… What are the trends we must embrace? What will be the impacts? What must we do to turn change to opportunity? How can I make a difference? Today I will discuss the key future trends and how to make a difference

Paul Ormonde-James 2014 CYBERTREKING.COM Businesses will continue to embrace machine learning and automationmachine learning Further than prediction Learning algorithms Intuitive churn modelling Programs that teach the analyst

Paul Ormonde-James 2014 CYBERTREKING.COM Businesses will search for the right balance between human and machine capability and judgment Machines will propose scenarios and at a speed faster than humans allowing dramatic decision making Ultimately machines will have consciousness and will make intuitive decisions. Technologies for inter- machine human interfaces will increase

Paul Ormonde-James 2014 CYBERTREKING.COM Data scientists will drive new products and services The traditional product manager will be replaced with sophisticated analytic data scientists, predicting consumer needs with accuracy based on universal knowledge Machines and intelligence will also use 3D printing to build exactly what people want The society will move to complete disposable everything and recycling

Paul Ormonde-James 2014 CYBERTREKING.COM Companies get beyond big data hype Omni-present intelligence will replace the infant concepts of Big Data. Big Data propositions will be laughed at, as machine learning drives accurate small data Knowledge workers will drive productivity and even traditional management. Executives will be the smartest of populations

Paul Ormonde-James 2014 CYBERTREKING.COM Big structured data will make a name for itself The data continuum will revolve 360 degrees The structure will be driven by sophisticated logic systems based on learning Cloud everywhere will be supported by continuous live connection System architectures will evolve to meet the real time nature of information and intelligence

Paul Ormonde-James 2014 CYBERTREKING.COM The analytics profession continues to mature Intelligence Analytics will evolve based on machine learning Current technologies will be replaced with more sophisticated approaches to decision making in structurally flat organisations Executive levels will be substantially reduced as ideas and delivery is easily managed in flat structure due to continuous connection to information There will only be decisions and knowledge. Analytics will be the only competitive advantage

Paul Ormonde-James 2014 CYBERTREKING.COM Vendors and users will focus on operationalizing and managing models Models will drive decisions Vendors will provide only cloud solutions Applications will be fully customizable by learning algorithms. No need for vendor customisations Machine learning will allow experience to be shared by companies and eliminating the big consultancies Holographic interfaces allows dynamic scenario analysis

Paul Ormonde-James 2014 CYBERTREKING.COM The adoption of Analytics as a Service will accelerate Analytics will become a commodity Adoption to markets will be fully automated Industry knowledge will be stored online for all to access reducing need for people to retain. Organisations will leverage global learning

Paul Ormonde-James 2014 CYBERTREKING.COM Facial recognition data will play a bigger role From recognition for access to ATMs and banking to control of automated functions Reading moods for lighting and for offers online Control of computer interfaces Reading and anticipating responses

Paul Ormonde-James 2014 CYBERTREKING.COM Wearable device data will be incorporated into predictive analytics Anticipation of an individuals needs and wants Interfacing with others Sharing feelings and emotions interconnections to machines Relationship management Emotional control

Paul Ormonde-James 2014 CYBERTREKING.COM Businesses will embrace visualizations for all types of data Inter corneal interfaces Connected neural and cognitive networks Fully integrated holographic interfaces

Paul Ormonde-James 2014 CYBERTREKING.COM Businesses will consider adding "lawyer" to their big data line up? Privacy gone wild Derived personal information so accurate it predicts what you will do Control on what you may do not what you have done Thoughts open on cloud. No secrets

Paul Ormonde-James 2014 CYBERTREKING.COM Massively connected all the time Knowing where everyone is located at any time with great accuracy Connection with anyone at anytime anywhere New filtering opportunities Spam of information by interpersonal channels Thinking and doing become blurred

Paul Ormonde-James 2014 CYBERTREKING.COM When computers disappear Data transfer through thought Memory stored in skin Mind the future computer Bluetooth replaced by 3D image transfers person to person People and machines blurred

Paul Ormonde-James 2014 CYBERTREKING.COM Change will continue

Paul Ormonde-James 2014 CYBERTREKING.COM By Paul Ormonde-James January 2014