Predictive Data Analytics and Artificial Intelligence by 40°
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The document outlines the services and capabilities of 40°, a company specializing in predictive data analytics and AI. It describes how 40° helps enterprises leverage data to improve decision-making, foster innovation, and drive digital transformation through various methodologies such as machine learning and data visualization. Additionally, it highlights the company's role in supporting businesses to build data-driven models that enhance operational efficiency and generate new revenue streams.
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Predictive Data Analytics and Artificial Intelligence by 40°
- 1. 1 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 40° Business Data Intelligence Predictive Data Analytics and Artificial Intelligence by 40° Kiel/Köln, January 2020
- 2. 2 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 The continuous change in the market and the needs of employees, partners and customers demand flexibility. The more innovative a company is, the more agile it can handle these requirements. But the higher the pressure to change, the harder it is for many companies to be innovative. This is where 40 ° comes into play. Innovation driven business models 40° Innovation Lab
- 3. 3 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 40° collects data, transform it for analysis, runs analytical algorithms, and prepare visualizations to return the critical findings. 40° is specialized in data science, BI solutions and data analytics consulting. We help enterprise companies to make better decisions on time by helping them in big data analytics and visualization. We work with a smart team of software engineers, big data developers, data scientists, business analysts and domain experts in various markets to help you resolve critical problems of your business with vital data. With 40° companies grow faster and make fewer mistakes. Drive digital Transformation through Data Analytics and AI Predictive Data Science by 40°
- 4. 4 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 With 40 ° you raise potentials in the analysis and use of data › Improve existing business processes in the company — Detecting the impact of investments on long-term business performance — Analysis of running costs — Detecting errors in the production process before they occur — Simplification of processes › Targeted marketing and customer approach — Disruptive new business models — Development of data-driven business models for new companies or business areas — Generation of new revenue stream through data We give understandable answers to questions based on data. Provide understandable answers to questions based on data Data analysis with potential
- 5. 5 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 40 ° advises and supports companies and institutions to generate real added value from data and to generate data- driven innovations and new business models. We help to reinvent your business with data. 40 ° is the expert for data driven business transformation
- 6. 6 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 Our Playground Providing data analysis and infrastructure to develop data driven business models DIGITAL INNOVATION Foresight Consulting Open Innovation Solutions Business Transformation Strategy Development Customer Experience PREDICTIVE DATA SCIENCE Research & Analytics Data Catalogue / Warehouse Predictive Data Science AI / Machine and Deep Learning Data Visualization
- 7. 7 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 6 stages of evolution in data analysis Predictive Data Science A / B Testing, Simple Machine Learning Algorithms, Experiments & Tests Artificial Intelligence, Deep Learning, Machine Learning Data cleansing, data preparation, Detect errors and anomalies, record / Prepare data model for analysis Data Analysis, Metrics, Segmentation, aggregation, Identify characteristics, Create training data Orchestration of tools and methods as well as data (which data sets?), Data origin, data collection, IoT, open data, sensors, IT systems / interfaces, user generated content, external data of partners and customers, logging reliable data stream, configure infrastructure / software, Defining Data Pipelines, ETL (Extract, Transform, Load), Interfaces, persistence for structured / unstructured data COLLECT DATA MOVE/STORE/MANAGE DATA EXPLORATION & TRANSFORMATION AGGREGATION & LABELING LEAFRN & OPTIMIZE INTERPRETATION & PREDICTION
- 8. 8 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 5 steps to becoming a successful data-driven company 40° Value Chain for Business Data Intelligence Data Collection & Storage - Define goals & build data strategy - Organize resources - Examination of data - Determination and evaluation of current data quality & gaps - Sourcing data: Make, buy or use data (Open Data, IoT, APIs, external vendors, internal systems) - Reduce data silos and build company-wide data lake - Cloud-Storage Exploration & Transformation - Intelligent linking of data in data lake - Harmonize data - Error detection - Implementing data pipeline for 360° analysis: collecting, merging, processing and segmenting data - Scalable cloud solution for data storage and analysis Aggregation & Analystics - Data Analytics and optimization for business use cases - Analytics and metrics of internal and external data - Supply chain analysis - Marketing segment analytics - 360° customer view - Predictive maintenance - Model creation - Validate, evaluate & refine model AI/ML Learning & Optimization - Foresight based on machine learning algorithms from 40° - Using Big Data for training / analysing - Develop predictive models for machine learning / deep learning - Predictions and recommendations based on AI - Train and enable customers data science team 1 2 3 4 Launch, Visualize, Software Engineering - Visualization of data / findings - Presentation of models - Scenario develop- ment - Customer data analytics platform - Data analytics APIs - App-Development - Data Storytelling / Data Journalism - Reportings for the right conclusions for your business goals 5 Planning Data preparation Modeling Follow up
- 9. 9 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 Deep Learning & Machine Learning From Algorithms to AI Artificial Intelligence Machine Learning Deep Learning › Machine Learning algorithms › Artificial neural networks › Deep learning models with multiple layers › Natural Language Processing (NLP) › Representation Learning We build well designed solutions using machine learning and deep learning models
- 10. 10 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 How we proceed in a typical Machine Learning project 40° Data Analytics Process Diagram Dataset useable ? Data Training Data Volume OK? Data Analytics („The Magic“) Existing model? Building model Evaluation & Testing Suffi- ciently usable model? Model Conversion to machine readable format (JSON, CVS) Generation of synthetic data (if possible) YES NO YES NO NO YES YES Adaption of model Saving, Inferencing, using & retraining
- 11. 11 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 40° bring the power of data science and artificial intelligence to your business Services and Solutions › Transform Big Data into knowledge & actionable insights › Make smart business decisions › Understand customer well and predict behavior › Create opportunity of collecting data using various data sources › Boost productivity Predictive Data Analytics › Transforming your company’s data into visualizations › Understand business trends with interactive graphcs › Quickly identify performance towards goals › Changing trends / customer requirements Data Visualisation › Identify future trends and insights on data and predictions based on AI › Get recommendations for smart decisions with future insights › Build and train intelligent recommendation engine Predictive Forecasting › Building Web-Platforms (APIs) › Build companywide data lake › Understand hidden patterns and trends › Data scraping / own data, surveys, Logging › Open Data, Web-Grabbing & seeking data, Buying data Engineering: Data Production › Automate business logics › Automate systems with high accuracy based on ML › Facilitates better decision making › Use proven algorithms from the 40°-framework for various tasks › Training AI models in the cloud or on premise AI / Machine Learning › Generate relevant analytics › Building data catalogue / data lake › Structured data › Semi-structured › Unstructured data › Evaluation via dashboard system › Platform development Data Warehouse/ Data Catalogue › Classifying images, forecasting models and NLP › Strategy development and decision preparation › Modeling and use of neural networks in the cloud › Use of Deep Learning Frameworks, e.g. TensorFlow AI / Deep Learning
- 12. 12 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 What we offer in Data Analytics and AI Projects Our Consulting and Analytic Services Consulting & Analytics What´s the goal? Find Data Strategy and define KPIs, Team, Ressources, Technology Data Sourcing: inhouse, open, 3rd party, APIs Building company-wide data lake and solve data gaps and errors Solutions & Cases Predictive Maintenance Build & Train Customer Data Analytics Team Data Visualization & Storytelling Enable Customer to collect, store and handle data Recommendation Engines Develop Use Cases for Research and Predictions 40° Tools & Platforms 40° DSSP (Data Science Software Platform) 40° ML- Algorithm-Suite Training & Enabling Dashboards for predictive data visualization Data Analytics and Metrics Lifetime Value Optimization ChatBot and MLP / Intelligent Assistants Market Forecasting & Decision Frameworks Churn Rate Analytics
- 13. 13 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 Tools, Framework and Services we use in Data Analytics and AI Projects Our Toolchain Research & Analytics Coding: Python, R, C#, Java, Swift, (bash) Apache Spark Pandas Visualization Tableau IBM Watson Microsoft PowerBI TensorFlow/Keras D3JS & Matplotlib Cloud Services IBM Cloud / IBM Watson Microsoft Azure Machine/Deep Learning AWS Database: H2O, MySQL, PostgreSQL, SQLite, Cloudant, Hadoop SciKit Learn Create ML / Core ML / TuriCreate
- 14. 14 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.3 › Main topics: IT & Technology Consulting | Predictive Data Science and Machine Learning | Digital innovation in change and transformation processes | Technical strategy development and conception › Lecturer at the University of Applied Sciences Kiel in the Department of Media & Communication in the Innovation Management module › Professional experience in strategy development, development of digital business models, platform and network development, data analysis and ML-model development, digital communication consulting in change projects, e.g. at Kohtes & Klewes (now: KetchumPleon), K12 Agency for Communication and Innovation (Managing Partner) › Co-Founder of Parapluie – a solution-driven digital company with is main office in Berlin › Certified Scrum Master, UML-Expert, PRINCE2 (Foundation & Practitioneer), ITIL4® Foundation Digital Innovation & Transformation, Expertise in Predictice Data Science FrederikBernard
- 15. 15 | Predictive Data Analytics by 40° | Jan. 2020 – Version 1.315 | Fußzeile | Datum Thanks for your interest. 40° GmbH Labor für Innovation Managing Director: Frederik Bernard 40° GmbH Labor für Innovation Jägersberg 23 24103 Kiel Germany Fon +49 (0) 431 – 88 38 026 E-Mail [email protected] Web: www.40grad.de