Introduction – technological context • development of artificial intelligence (AI) and digitization of life • new devices of prediction allowing optimization of decision-making processes and anticipation of risks. • These algorithmic systems based on AI, we contend, have to be understood as original modes of prediction that create new possibilities to grasp the future through quantification of life. • Background: algorithmic ‘divination’. Introduction &ndash ...
CMPS 490 / CSCE 598 Big Data Analytics • Description: Essentials of Big Data analytics. Topics include: challenges and opportunities posed by Big Data in a variety of domains, predictive analytics or other advanced methods to extract value from data, innovative statistical techniques to glean insights from data, frameworks for parallelizing data pre-processing and data analytics, such as, Hadoop and Spark, and distributed algorithms to ...
What is Big Data? • huge data is generated by different sources such as business people, marketing, education, engineering, medicine, social media, on-line transactions, call centers, sensors, web logs and telecommunication. • Challenge :collection, storage, retrieval and analysis of enormous data. • Business intelligence (BI) vendors are looking at predictive analytics to understand customer behaviour Business Analytics • Exploring data to find new patterns and ...
Agenda Introduction Methodology Experiments Evaluation Results NATASCHA HARTH 2 Context Cloud Sensing & Actuator Devices IoT Gateways (Edge/Fog Network) Cloud Environments Introduction NATASCHA HARTH 3 Constraints at the Edge Idea: Observe your Power & Push 1. Limited Bandwidth Exploit the limited computational 2. Energy power of sensing & actuator devices 3. Limited Computational Power 4. Storage Capacity Push Intelligence to the Edge: ...
a? t Book: https://books.google.com.ua/books? a id=NLZYCwAAQBAJ&printsec=frontcover&hl=uk#v=onepage&q& D g f=false Bi s i t ha W Big Data The term has been in use since the 1990s Big data is data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. Lately, the term "big data& ...
Using best-practice methodologies & technologies Why Data from decision making Delivered in analytics Anywhere: the Best Analytics? What Formats & action should Channels: be -BOP Systems taken? -Flat Files discovery Reporting & & analysis -Dashboards -Web Sites exploratio -Reports - Log files n What -Interactive -Documents & actually Why did To enable happene it Visualisation Text d? happen? -Planning & ...
Disclaimer • Views expressed in the presentation are those of the presenter and are not representative their professional membership organisations as well as employer; therefore no liability arising from the presentation should be directed to the said organisations. • The internet was used as a main source of information in this presentation Agenda •Data and information •Predictive Analytics •Actuarial Philosophy, Risks and ...
OBJECTIVES needed to understand factors volume decomposition affecting volume performance quantified impact of each factor needed to quantify impact of each factor effects of short/long term activities (promo, media) possible forecast of immediate future performance Classes of Data Internal Sales by Subcategories Government economic indicators ( GNP, inflation, P-$, unemployment, etc) weather ( temperature, rainfall , humidity) Competitive Retail Audit Consumer confidence Media TARP Events/Promotions APPROACH ...
IoT Value Roadmap Key IoT use cases from hundreds of customer interactions across connected products, operations, and systems are defined and linked to their business impact 2 IoT Value Drivers Optimize Operational Performance Operational Improve Risk Management Effectiveness Reduce Product and Service Costs Improve Customer Experience Strategic Differentiate Product and Service Offering Differentiation Enable New Revenue Streams 3 26 Key IoT Use Cases Across Business ...
The Factory of the Future Source: BCG Trends shaping the Manufacturing sector – AI and Advanced Analytics is at the core of Smart Manufacturing Predictive Maintenance Human Robotics Collaborative Ecosystems Using the power of machine learning to provide New generation of robotics capable of image and speech manufacturers with contextual insight and recognition are taking over precision operations in the intelligence based on data captured ...
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