Data trends en ontwikkelingen
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The document discusses several future jobs that may emerge by 2029 due to developments in technology. It lists over 40 potential new roles across industries like data analysis, artificial intelligence, healthcare and more. For each role, it provides a brief 1-2 sentence description of the responsibilities and tasks associated with that job. The document sources its predictions from reports by Cognizant on jobs of the future from 2017 and 2018.
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Data trends en ontwikkelingen
- 1. Data trends en ontwikkelingen Seminar “Smart Data Practices”, 31 januari 2019 Danny Greefhorst dgreefhorst@archixl.nl
- 2. 2 Top 10 strategische technologietrends voor 2019 bron: Gartner, “The Top 10 Strategic Technology Trends for 2019” (2018)
- 3. 3 Augmented Analytics bron: Gartner, “The Top 10 Strategic Technology Trends for 2019” (2018)
- 4. 4 AI Driven Development bron: Gartner, “The Top 10 Strategic Technology Trends for 2019” (2018)
- 5. Nieuwe functies die nodig zijn in 2029 5 • Data Detective • Bring Your Own IT Facilitator • Ethical Sourcing Manager • AI Business Development Manager • Master of Edge Computing • Walker/Talker • Fitness Commitment Counselor • AI-Assisted Healthcare Technician • Cyber City Analyst • Genomic Portfolio Director • Man-Machine Teaming Manager • Financial Wellness Coach • Digital Tailor • Chief Trust Officer • Quantum Machine Learning Analyst • Head of Business Behavior • Head of Machine Personality Design • Joy Adjutant • Juvenile Cybercrime Rehabilitation Couselor • Machine Risk Officer • Smart Home Design Manager • Subscription Management Specialist • Tidewater Architect • Uni4Life Coordinator • Vertical Farm Consultant • Virtual Identity Defender • Voice UX Designer • VR Arcade Manager bron: Cognizant, “21 jobs of the future” (2017) en “21 more jobs of the future” (2018) • Virtual Store Sherpa • Personal Data Broker • Personal Memory Curator • Augmented Reality Journey Builder • Highway Controller • Genetic Diversity Officer • Algorithm Bias Auditor • Chief Purpose Planner • Cyber attack agent • Cyber Calamity Forecaster • Data Trash Engineer • Esports Arena Builder • Flying Car Developer • Haptic Interface Programmer
- 6. Nieuwe functies die nodig zijn in 2029 6 • Data Detective • Bring Your Own IT Facilitator • Ethical Sourcing Manager • AI Business Development Manager • Master of Edge Computing • Walker/Talker • Fitness Commitment Counselor • AI-Assisted Healthcare Technician • Cyber City Analyst • Genomic Portfolio Director • Man-Machine Teaming Manager • Financial Wellness Coach • Digital Tailor • Chief Trust Officer • Quantum Machine Learning Analyst • Head of Business Behavior • Head of Machine Personality Design • Joy Adjutant • Juvenile Cybercrime Rehabilitation Couselor • Machine Risk Officer • Smart Home Design Manager • Subscription Management Specialist • Tidewater Architect • Uni4Life Coordinator • Vertical Farm Consultant • Virtual Identity Defender • Voice UX Designer • VR Arcade Manager bron: Cognizant, “21 jobs of the future” (2017) en “21 more jobs of the future” (2018) • Virtual Store Sherpa • Personal Data Broker • Personal Memory Curator • Augmented Reality Journey Builder • Highway Controller • Genetic Diversity Officer • Algorithm Bias Auditor • Chief Purpose Planner • Cyber attack agent • Cyber Calamity Forecaster • Data Trash Engineer • Esports Arena Builder • Flying Car Developer • Haptic Interface Programmer Data Detective • Embed in departments and teams • Examine data • Find new sources of data • Ask questions of data • Work data sources • Triangulate different data sources • Write reports and present findings • Keep abreast of general developments in data science • Understand the competitive environment
- 7. Nieuwe functies die nodig zijn in 2029 7 • Data Detective • Bring Your Own IT Facilitator • Ethical Sourcing Manager • AI Business Development Manager • Master of Edge Computing • Walker/Talker • Fitness Commitment Counselor • AI-Assisted Healthcare Technician • Cyber City Analyst • Genomic Portfolio Director • Man-Machine Teaming Manager • Financial Wellness Coach • Digital Tailor • Chief Trust Officer • Quantum Machine Learning Analyst • Head of Business Behavior • Head of Machine Personality Design • Joy Adjutant • Juvenile Cybercrime Rehabilitation Couselor • Machine Risk Officer • Smart Home Design Manager • Subscription Management Specialist • Tidewater Architect • Uni4Life Coordinator • Vertical Farm Consultant • Virtual Identity Defender • Voice UX Designer • VR Arcade Manager bron: Cognizant, “21 jobs of the future” (2017) en “21 more jobs of the future” (2018) • Virtual Store Sherpa • Personal Data Broker • Personal Memory Curator • Augmented Reality Journey Builder • Highway Controller • Genetic Diversity Officer • Algorithm Bias Auditor • Chief Purpose Planner • Cyber attack agent • Cyber Calamity Forecaster • Data Trash Engineer • Esports Arena Builder • Flying Car Developer • Haptic Interface Programmer Ethical Sourcing manager • Be an active member of the ethical board • Augment ethical sourcing strategies • Define category redlines • Undertake category research • Create specific category plans • Oversee a team of analysts • Negotiate, agree and check delivery • Update key metrics for client review • Liaise with the provider community • Provide insight on ethical positions • Evaluate category information feeds
- 8. Nieuwe functies die nodig zijn in 2029 8 • Data Detective • Bring Your Own IT Facilitator • Ethical Sourcing Manager • AI Business Development Manager • Master of Edge Computing • Walker/Talker • Fitness Commitment Counselor • AI-Assisted Healthcare Technician • Cyber City Analyst • Genomic Portfolio Director • Man-Machine Teaming Manager • Financial Wellness Coach • Digital Tailor • Chief Trust Officer • Quantum Machine Learning Analyst • Head of Business Behavior • Head of Machine Personality Design • Joy Adjutant • Juvenile Cybercrime Rehabilitation Couselor • Machine Risk Officer • Smart Home Design Manager • Subscription Management Specialist • Tidewater Architect • Uni4Life Coordinator • Vertical Farm Consultant • Virtual Identity Defender • Voice UX Designer • VR Arcade Manager bron: Cognizant, “21 jobs of the future” (2017) en “21 more jobs of the future” (2018) • Virtual Store Sherpa • Personal Data Broker • Personal Memory Curator • Augmented Reality Journey Builder • Highway Controller • Genetic Diversity Officer • Algorithm Bias Auditor • Chief Purpose Planner • Cyber attack agent • Cyber Calamity Forecaster • Data Trash Engineer • Esports Arena Builder • Flying Car Developer • Haptic Interface Programmer AI Business Development Manager • Define, build and deploy • Engage, support and drive sale • Exhibit proactive ability and expertise • Exhibit cloud-managed services or AI expertise • Drive field and partner readiness • Engage in senior-level customer meetings • Serve as an evangalist • Develop a standard market intelligence framework • Establish ways to measure and track metrics • Prepare and provide business reviews
- 9. Nieuwe functies die nodig zijn in 2029 9 • Data Detective • Bring Your Own IT Facilitator • Ethical Sourcing Manager • AI Business Development Manager • Master of Edge Computing • Walker/Talker • Fitness Commitment Counselor • AI-Assisted Healthcare Technician • Cyber City Analyst • Genomic Portfolio Director • Man-Machine Teaming Manager • Financial Wellness Coach • Digital Tailor • Chief Trust Officer • Quantum Machine Learning Analyst • Head of Business Behavior • Head of Machine Personality Design • Joy Adjutant • Juvenile Cybercrime Rehabilitation Couselor • Machine Risk Officer • Smart Home Design Manager • Subscription Management Specialist • Tidewater Architect • Uni4Life Coordinator • Vertical Farm Consultant • Virtual Identity Defender • Voice UX Designer • VR Arcade Manager bron: Cognizant, “21 jobs of the future” (2017) en “21 more jobs of the future” (2018) • Virtual Store Sherpa • Personal Data Broker • Personal Memory Curator • Augmented Reality Journey Builder • Highway Controller • Genetic Diversity Officer • Algorithm Bias Auditor • Chief Purpose Planner • Cyber attack agent • Cyber Calamity Forecaster • Data Trash Engineer • Esports Arena Builder • Flying Car Developer • Haptic Interface Programmer Quantum Machine Learning Analyst • Define a QML roadmap • Collaborate with business and IT teams • Research, design, prototype and test • Work with industry partners and startups • Apply machine learning techniques • Apply principles from quantum techniques • Collaborate with research institutions and startups • Work with the legal team • Collaborate with our internal research and engineering teams
- 10. Nieuwe functies die nodig zijn in 2029 10 • Data Detective • Bring Your Own IT Facilitator • Ethical Sourcing Manager • AI Business Development Manager • Master of Edge Computing • Walker/Talker • Fitness Commitment Counselor • AI-Assisted Healthcare Technician • Cyber City Analyst • Genomic Portfolio Director • Man-Machine Teaming Manager • Financial Wellness Coach • Digital Tailor • Chief Trust Officer • Quantum Machine Learning Analyst • Head of Business Behavior • Head of Machine Personality Design • Joy Adjutant • Juvenile Cybercrime Rehabilitation Couselor • Machine Risk Officer • Smart Home Design Manager • Subscription Management Specialist • Tidewater Architect • Uni4Life Coordinator • Vertical Farm Consultant • Virtual Identity Defender • Voice UX Designer • VR Arcade Manager bron: Cognizant, “21 jobs of the future” (2017) en “21 more jobs of the future” (2018) • Virtual Store Sherpa • Personal Data Broker • Personal Memory Curator • Augmented Reality Journey Builder • Highway Controller • Genetic Diversity Officer • Algorithm Bias Auditor • Chief Purpose Planner • Cyber attack agent • Cyber Calamity Forecaster • Data Trash Engineer • Esports Arena Builder • Flying Car Developer • Haptic Interface Programmer Data Trash Engineer • Create a data trash nutrician labeling system to rate the quality of each dataset • Become a champion of the “trash-to-treasure” innovation programme • Design AI test experiments • Participate in the planning and strategy of key projects • Drive collaboration with other data teams • Partner closely with our legal teams
- 11. Nieuwe functies die nodig zijn in 2029 11 • Data Detective • Bring Your Own IT Facilitator • Ethical Sourcing Manager • AI Business Development Manager • Master of Edge Computing • Walker/Talker • Fitness Commitment Counselor • AI-Assisted Healthcare Technician • Cyber City Analyst • Genomic Portfolio Director • Man-Machine Teaming Manager • Financial Wellness Coach • Digital Tailor • Chief Trust Officer • Quantum Machine Learning Analyst • Head of Business Behavior • Head of Machine Personality Design • Joy Adjutant • Juvenile Cybercrime Rehabilitation Couselor • Machine Risk Officer • Smart Home Design Manager • Subscription Management Specialist • Tidewater Architect • Uni4Life Coordinator • Vertical Farm Consultant • Virtual Identity Defender • Voice UX Designer • VR Arcade Manager bron: Cognizant, “21 jobs of the future” (2017) en “21 more jobs of the future” (2018) • Virtual Store Sherpa • Personal Data Broker • Personal Memory Curator • Augmented Reality Journey Builder • Highway Controller • Genetic Diversity Officer • Algorithm Bias Auditor • Chief Purpose Planner • Cyber attack agent • Cyber Calamity Forecaster • Data Trash Engineer • Esports Arena Builder • Flying Car Developer • Haptic Interface Programmer Algorithm Bias Auditor • Establish and lead a team of ABAs • Create and maintain an inventory of all algorithms across the business • Produce bias guidelines to lead development teams • Develop matrix-style co-review models • Initiate reporting methodologies
- 12. 12 Geo-BIM integratie voor vergunningverlening
- 13. 13 Data science bij het RIVM: Nitraatkaart Bron: https://www.rivm.nl/landelijk-meetnet-effecten-mestbeleid/resultaten/nitraatkaart-van-nederland Landbouwgebieden: • Nitraatconcentraties LMM-locaties • Bedrijfsoppervlakken LMM-locaties • Grondsoortregiokaart LMM • Landgebruikskaart Nederland • Grondwatertrappenkaart (Gt) • Bodemkaart • Grondsoortenkaart meststoffenwet • Mestgebruik per gemeente/ grondgebruik (MAMBO-data) Natuurgebieden: • Nitraatconcentraties TMV-locaties • Landgebruikkaart • Stikstofdepositiekaart • Bodemkaart3 randomForest in R6
- 14. 14 Informatiewaardemodel Waardevaninformatie Investering in delen van informatie Vindbaar Betekenisvol Kenbare kwaliteit Geïntegreerd Beschikbaar Vindbaar in metadata catalogus Vindbaar in NGR/data.overheid.nl Beschikbaar als open data Beschikbaar via REST API Regels gedocumenteerd Voorzien van informatiemodel Gevalideerd Datakwaliteit in metadata Omgezet naar informatieproducten Beschikbaar als Linked Data
- 15. 15 Datakwaliteit bron: Gegevenskwaliteit in de omgevingswet Nauwkeurigheid Compleetheid Consistentie Actualiteit Precisie Plausibiliteit Traceerbaar heid Thematische nauwkeurigheid Dataset compleetheid Formaat consistentie Tijdigheid Positionele nauwkeurigheid Authenticiteit Herleidbaarheid Classificatie juistheid Object compleetheid Domein consistentie Frequentie Temporele nauwkeurigheid Waarschijnlijkheid Overcompleetheid Standaarden compliance Historie Conceptuele consistentie Referentiële integriteit Geometrische correctheid Topologische consistentie Compliance Opslagprecisie Kwantitatieve nauwkeurigheid Metadata compleetheid Statistische precisie Systematische afwijking Resolutie Representativiteit Geo-gerefereerd Homogeniteit Begrijpelijkheid Relevantie Leesbaarheid
- 16. Bedrijfsobject (ArchiMate3:: BusinessObject) - Name: Tekst - Notes: Tekst Applicatie (ArchiMate3:: ApplicationComponent) - Name: Tekst - Notes: Tekst - Status: Tekst Streefapplicatie (ArchiMate3:: ApplicationComponent) - Name: Tekst - Notes: Tekst - Status: Tekst wordt beheerd door (ArchiMate3::Access) wordt beheerd door (ArchiMate3::Access) verstuurt informatie naar (ArchiMate3::Flow) - Name: Tekst - Notes: Tekst verstuurt informatie naar (ArchiMate3::Flow) - Name: Tekst - Notes: Tekst Informatiedomein specialiseert (ArchiMate3::Specialization) 16 Informatie-architectuur als basis voor data management Klant Exact Synergy Contract systeem
- 17. 17 Vragen?
Notes de l'éditeur
- De volgende tekst komt van: https://medium.com/analytics-for-humans/augmented-analytics-demystified-326e227ef68f Stage 1: Data Preparation and Discovery This is the stage most of the existing augmented analytics technologies are in. Key players include IBM Watson Analytics, Tableau Insights, and Qlik Sense. At this stage, augmented analytics algorithms serve as a great complement to existing data scientists or analysts, but does not have the ability to completely substitute them. Here, the algorithm’s primary purpose is to automate boring data preparation tasks such as data cleaning, data labeling, and data collection. It may be able to detect some correlations and anomalies in the data, but most of these detections are noise, and data scientists still need to parse out real signals manually. Stage 2: Signal Detection At this stage, the augmented analytics algorithm can detect true signals in a company’s data with extreme reliability. However, it is unable to connect these discoveries with business situations or business actions. Assistance is still needed from data analysts or data scientists to convert those discoveries into concrete business insights, but the time they need to spend on each insight is reduced dramatically. Many companies will likely reach this stage in 2–3 years. Stage 3: Actionable Insight Generation This is the stage in which the augmented analytics engine can directly interface with executives in the company with little or no need for input from a business analyst or data scientist. A large knowledge base of past business cases will be developed to help the augmented analytics systems connect trends in the company’s data to the larger context of the business. It can then offer concrete action steps based on these insights. More importantly, the system will be able to track the implementation of these actions and provide additional insights on what the company can do better next time to maximize its operational effectiveness. Here, the augmented analytics engine is not only a substitute for business analysts, but can also do a lot of things current analysts cannot do. This stage is definitely a significant leap compared with the previous stages. I believe many businesses will start to reach this stage in 5–10 years. De volgende tekst komt van: https://www.elegantjbi.com/blog/what-is-augmented-analytics-and-why-does-it-matter.htm What is Augmented Analytics and Why Does it Matter? If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’, Published 27 July 2017, by Rita L. Sallam, Cindi Howson, and Carlie J. Idoine, highlighting the importance and benefits of augmented analytics, augmented data preparation and augmented data discovery. For those who are managing an analytical solution implementation, or trying to select a solution for business users, it is important to understand the terms and the features and function of these solutions so that you can select the appropriate solution for your users, your data analysts and your IT team. So, let’s dive into the definitions first! Smart Data Discovery goes beyond data monitoring to help business users discover subtle and important factors and identify issues and patterns within the data so the organization can identify challenges and capitalize on opportunities. These tools allow business users to leverage sophisticated analytical techniques without the assistance of technical professionals or analysts. Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms. Smart Data Discovery tools should enable gathering, preparation, integration and analysis of data and allow users to share findings and apply strategic, operational and tactical activities and will suggest relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns and helps to forecast and predict results for planning activities. Augmented Data Preparation empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff. It allows users access to crucial data and Information and allows them to connect to various data sources (personal, external, cloud, and IT provisioned). Users can mash-up and integrate data in a single, uniform, interactive view and leverage auto-suggested relationships, JOINs, type casts, hierarchies and clean, reduce and clarify data so that it is easier to use and interpret, using integrated statistical algorithms like binning, clustering and regression for noise reduction and identification of trends and patterns. The ideal solution should balance agility with data governance to provide data quality and clear watermarks to identify the source of data. Augmented Analytics automates data insight by utilizing machine learning and natural language to automate data preparation and enable data sharing. This advanced use, manipulation and presentation of data simplifies data to present clear results and provides access to sophisticated tools so business users can make day-to-day decisions with confidence. Users can go beyond opinion and bias to get real insight and act on data quickly and accurately. Why is all of this important to your organization? Here are a few reasons you should consider advanced analytics and augmented data preparation for your enterprise: These solutions allow the data scientist and IT community to focus on strategic issues and special projects. Accessible augmented analytics creates Citizen Data Scientists and improves accountability and empowerment. Advances in smart data discovery and other sophisticated techniques and solutions can positively impact ROI and TCO. These solutions produce better decisions, more accurate business predictions and measurable analysis of product and service offerings, pricing, financials, production and other aspects of business. Augmented data preparation and related tools will improve user adoption, data popularity, social BI integration and data literacy. It is not always easy to stay abreast of the terms, techniques and solutions in the analytics domain but it is well worth the effort. This market is changing rapidly with new tools and improvements introduced every year. Whether you are an IT consultant, an in-house IT professional, a middle manager or a senior executive, it is important to monitor the progress of business analytics and the related technology. Every business needs to understand how these solutions can and will affect users, processes and workflow. Giving your team the right tools, and a simple way to manage the overwhelming flow of data and information, is crucial to your business success and will make every team member an asset to your organization.
- Wat is de nitraatkaart? De nitraatkaart (figuur 1) geeft een ruimtelijk beeld van de nitraatconcentraties in water dat uitspoelt uit landbouwpercelen en natuurgebieden in Nederland. De kaart kan worden gebruikt om mogelijke probleemgebieden te identificeren. Nitraat is namelijk een belangrijke indicator voor de kwaliteit van het grond- en oppervlaktewater. Zowel bij beleidsmakers als belangengroepen is er veel vraag naar de identificatie van gevoelige of problematische gebieden m.b.t. nitraat in het uitspoelingswater. De kaart is door het RIVM samengesteld op basis van gegevens uit het Landelijk Meetnet effecten Mestbeleid (LMM) voor de landbouw-gebieden en het Trendmeetnet Verzuring (TMV) voor de natuurgebieden. Hoe kan de nitraatkaart worden gebruikt? De kaart kan gebruikt worden als hulpmiddel bij de discussie over waar in Nederland aanvullende maatregelen nodig zijn voor stikstof. Hierbij kunnen gebieden worden geïdentificeerd waar de nitraatconcentraties in het uitspoelingswater verder verlaagd zouden moeten worden. Verder geldt dat geen uitspraken gedaan worden over de waterkwaliteit op lokaal niveau, wel kan deze kaart gebruikt worden voor uitspraken op regionaal niveau. Hoe is de kaart samengesteld en welke gegevens zijn hierbij gebruikt? Het RIVM meet met het Landelijk Meetnet effecten Mestbeleid (o.a.) nitraatconcentraties in het water dat uitspoelt uit percelen op landbouwbedrijven en in slootwater op deze bedrijven. Voor deze kaart zijn voor de Klei-, Zand- en Lössregio de gegevens voor uitspoelingswater en voor de Veenregio de gegevens voor slootwater gebruikt. Nitraatconcentraties in het uitspoelingswater van natuurgebieden worden door het RIVM gemeten in het Trendmeetnet Verzuring. Deze natuurgebieden bevinden zich voornamelijk op zandgrond. Beide meetnetten geven data die betrekking hebben op een beperkt oppervlak, namelijk bedrijf of natuurlocatie. Door deze gegevens te combineren met kaartinformatie en bemestingsdata op nationaal niveau en gebruik te maken van een statistisch model, is de nitraatconcentratie geschat voor heel Nederland, ook daar waar niet is gemeten. Dit is in de nitraatkaart weergegeven.