Machine Learning is revolutionising the marketing industry. I discuss what skills you'll need as a marketer in the future to stay relevant, effective and employed.
Data Thinking Preview - Predictive Analytics World for Industry 4.0Datentreiber
Now is the time to strengthen your skills and knowledge: with the virtual workshop “Data Thinking” we give you the chance to learn a proven method and free open source tools to design useful data products and more successful data projects. With this free preview, you have the possibility to get an overview of the workshop and an insight into how to apply design thinking for data science & analytics.
Graphs & the Police: How Law Enforcement Analyze Connected Data at ScaleNeo4j
Law enforcement agencies are trailblazers of using graph analysis to understand connections. Manual and partially automated link analysis tools have been crucial in an investigation and situational awareness capacity for several decades.
Meanwhile, the global explosion in data volumes and sources hasn't been limited to the private sector. Law Enforcement agencies, departments and fusion centers use a vast array of databases and sources, including Record Management Systems (RMS), Computer Aided Dispatch (CAD) and countless other sources.
In this webinar, Christian Miles of Cambridge Intelligence (makers of KeyLines) will introduce the benefits of graph technologies for law enforcement. He will show how to use Neo4j with compelling graph visualization techniques to improve performance and analytics when working with large volumes of law enforcement data.
Data Strategy Design: An Open Source Toolbox & Method for Data Thinking. Datentreiber
Martin Szugat presented on designing a data strategy using an open source toolbox and method for data thinking. He discussed why a data strategy is important given that around 85% of data and analytics projects fail due to a lack of business impact, user acceptance, or having the right data. A data strategy involves understanding the business objectives, accessible data, potential use cases, and roadmap for data-driven business cases. It is designed through an interdisciplinary team that understands the business, users, and data. The presentation provided an overview of the key components and considerations for developing a successful data strategy.
Collaborative Data UX Design - Virtually and Phyically Datentreiber
Many data products fail, partly because users do not understand or accept the software. To avoid this, analytics solutions e.g. KPI dashboards should be designed together with the users and this is especially true for the user interface.
At the Data Brain Meetup Datentreiber Martin Szugat showed three wireframing tools to sketch UI designs collaboratively with the users:
1) the virtual collaboration tool Miro,
2) the PowerPoint add-on PowerMockup and
3) the physical Dashboard Wireframing Kit.
Design Thinking for Data Superwomen & SupermenDatentreiber
Martin Szugat from Datentreiber held a keynote at the Predictive Analytics World Business Conference on November 14th, 2018 to share his knowledge on how to transform a business with an individual and successful data strategy for interdisciplinary teams.
Storytek Skills for the Marketer of The FutureNicholas Duddy
The document discusses the skills needed for marketers in the future, noting that while strategies like SEO, PPC, affiliate marketing, and others will still be important, marketers will also need to become highly proficient in technical skills like machine learning and statistical modeling. It suggests that the ideal future marketer will be highly creative, deeply strategic, and proficiently technical, but may ultimately be at risk of unemployment as more marketing tasks are taken over by automated systems.
Machine learning with Spark : the road to productionAndrea Baita
1) The document discusses best practices for implementing machine learning models in production using Apache Spark, including prototyping models in notebooks but implementing them properly in Spark, testing models using BDD, and monitoring models and business metrics once deployed.
2) It provides an example case study of implementing a machine learning model to predict clicks for an advertising campaign, including the required architecture, model deployment approaches, and defining relevant metrics to monitor.
3) Releasing and deploying machine learning models to production requires tools for continuous delivery, monitoring failures and business metrics over time to ensure model quality and adapt the model based on new data.
#MME15: How Mintigo, the Leading Predictive Marketing Platform for Enterprise...Mintigo1
Oracle Modern Marketing Experience 2015
Keynote Presentation
Description:
Is your demand generation machine broken? Are your goals unattainable with current conversion metrics? Is Sales demanding more leads and better leads? Is your budget shrinking but your goals are growing? If this sounds like you, don’t miss learning how Mintigo fixed Seagate’s demand gen machine and made the unattainable goal, attainable.
Presented by:
- Dr.Jacob Shama, CEO and Co-Founder, Mintigo
- Michael de la Torre, Sr. Director of Demand Generation, Seagate
Data Thinking Preview - Predictive Analytics World for Industry 4.0Datentreiber
Now is the time to strengthen your skills and knowledge: with the virtual workshop “Data Thinking” we give you the chance to learn a proven method and free open source tools to design useful data products and more successful data projects. With this free preview, you have the possibility to get an overview of the workshop and an insight into how to apply design thinking for data science & analytics.
Graphs & the Police: How Law Enforcement Analyze Connected Data at ScaleNeo4j
Law enforcement agencies are trailblazers of using graph analysis to understand connections. Manual and partially automated link analysis tools have been crucial in an investigation and situational awareness capacity for several decades.
Meanwhile, the global explosion in data volumes and sources hasn't been limited to the private sector. Law Enforcement agencies, departments and fusion centers use a vast array of databases and sources, including Record Management Systems (RMS), Computer Aided Dispatch (CAD) and countless other sources.
In this webinar, Christian Miles of Cambridge Intelligence (makers of KeyLines) will introduce the benefits of graph technologies for law enforcement. He will show how to use Neo4j with compelling graph visualization techniques to improve performance and analytics when working with large volumes of law enforcement data.
Data Strategy Design: An Open Source Toolbox & Method for Data Thinking. Datentreiber
Martin Szugat presented on designing a data strategy using an open source toolbox and method for data thinking. He discussed why a data strategy is important given that around 85% of data and analytics projects fail due to a lack of business impact, user acceptance, or having the right data. A data strategy involves understanding the business objectives, accessible data, potential use cases, and roadmap for data-driven business cases. It is designed through an interdisciplinary team that understands the business, users, and data. The presentation provided an overview of the key components and considerations for developing a successful data strategy.
Collaborative Data UX Design - Virtually and Phyically Datentreiber
Many data products fail, partly because users do not understand or accept the software. To avoid this, analytics solutions e.g. KPI dashboards should be designed together with the users and this is especially true for the user interface.
At the Data Brain Meetup Datentreiber Martin Szugat showed three wireframing tools to sketch UI designs collaboratively with the users:
1) the virtual collaboration tool Miro,
2) the PowerPoint add-on PowerMockup and
3) the physical Dashboard Wireframing Kit.
Design Thinking for Data Superwomen & SupermenDatentreiber
Martin Szugat from Datentreiber held a keynote at the Predictive Analytics World Business Conference on November 14th, 2018 to share his knowledge on how to transform a business with an individual and successful data strategy for interdisciplinary teams.
Storytek Skills for the Marketer of The FutureNicholas Duddy
The document discusses the skills needed for marketers in the future, noting that while strategies like SEO, PPC, affiliate marketing, and others will still be important, marketers will also need to become highly proficient in technical skills like machine learning and statistical modeling. It suggests that the ideal future marketer will be highly creative, deeply strategic, and proficiently technical, but may ultimately be at risk of unemployment as more marketing tasks are taken over by automated systems.
Machine learning with Spark : the road to productionAndrea Baita
1) The document discusses best practices for implementing machine learning models in production using Apache Spark, including prototyping models in notebooks but implementing them properly in Spark, testing models using BDD, and monitoring models and business metrics once deployed.
2) It provides an example case study of implementing a machine learning model to predict clicks for an advertising campaign, including the required architecture, model deployment approaches, and defining relevant metrics to monitor.
3) Releasing and deploying machine learning models to production requires tools for continuous delivery, monitoring failures and business metrics over time to ensure model quality and adapt the model based on new data.
#MME15: How Mintigo, the Leading Predictive Marketing Platform for Enterprise...Mintigo1
Oracle Modern Marketing Experience 2015
Keynote Presentation
Description:
Is your demand generation machine broken? Are your goals unattainable with current conversion metrics? Is Sales demanding more leads and better leads? Is your budget shrinking but your goals are growing? If this sounds like you, don’t miss learning how Mintigo fixed Seagate’s demand gen machine and made the unattainable goal, attainable.
Presented by:
- Dr.Jacob Shama, CEO and Co-Founder, Mintigo
- Michael de la Torre, Sr. Director of Demand Generation, Seagate
Many companies start their big data and AI journey by hiring a team of data scientists, give them some data, and expect them to work their miracles. Although it may yield results, it is not an efficient way to use data scientists. We will explain the problems that occur, and how to adapt the context to get business value from data scientists.
- Why data science teams might fail to deliver results
- What data scientists need to be efficient
- What talent you need in addition to data scientists
Who Wants to Become an IT Architect-A Look at the Bigger Picture - DigitalXch...Lucas Jellema
Pitch: The movie The Matrix made it clear: The Architect is powerful. How to be(come) and IT architect? What do you do, what do you need to know, is it fun and why? Using real world examples, core principles and useful tools, this session introduces the subtle art of designing and realizing flexible IT architectures. </p><p>Taking a step back to get and create an overview, frequently asking why to get to the real intention, bringing aspects such as cost, scale, time and change and business strategy into the design and bridging the gap between business owners, process managers and technical specialists. One way to define the responsibility of an IT architect. In this session, we will discuss what is expected of the architect and what you need to do for that and what you could use to get it done. How do you get started as an architect, how to grow in that role? We discuss a number of real life architectural challenges and solution design. And discuss a number of architecture principles, patterns, and powers to apply. Never stop programming - but perhaps rise to the architecture challenge too.
Notes: Many IT professionals aspire to become architects. Many architects wonder what it is they have to do. After 27 years in IT I find I have slowly and steadily moved into a role that I can probably use the label architect for, although still with some reluctance. What exactly does that mean - IT architect? While I may not have all answers and the ultimate truth and wisdom, I do have many architectural challenges to discuss and some core principles to share and a number of tips, tricks and tools to recommend that will help anyone get started or grow in a role as architect for software and IT systems. Elements that make an appearance include cloud, agile, DevOps, microservices, persistence, business, powers of persuasion, diagramming, cost, security, software engineering, data.
Outline: - two real world examples (one new business initiative, one running and struggling project) and how to approach them with an architect's mind - core principles to apply , patterns to us, what to unearth (the power question of WHY) - architecture products: what do you deliver as an architect; how do you ensure agility? - how to be effective? bringing your design to life - communication with stakeholders/powers of persuasion, monitoring adherence, being pragmatic but not lose grip; - anecdotal evidence from several small and large product teams - the good and also the ugly (architectural oversights and the consequences)
some specific answers to address - how much technical knowledge and programming skills does an architect require? What other knowledge is required and how to stay on top of your game? how to get going: first steps towards be(com)ing and architect?
Identity Graph at Scale: Transforming Billions of Page Views to Unique Identi...Neo4j
This document describes Meredith Corporation's development of an identity graph to create unified user profiles from billions of page views across their digital properties. It outlines their proof of concept work connecting user cookies and page visits, challenges scaling this to production levels, and solutions developed including custom import procedures and graph algorithms like UnionFind to efficiently link identities at scale and handle multiple data streams. The identity graph now processes over 20 months of first and third-party data daily to power personalized experiences for Meredith's large audiences.
Managing Database Indexes: A Data-Driven Approach - Amadeus MagrabiAmadeus Magrabi
Talk at the Open Data Science Conference East 2020.
Abstract:
Database indexes can make or break the performance of a database. Efficient indexes need to be tailored to the specific queries that are sent to a database, but since query patterns can vary a lot and change over time, it is often a painful process to manually manage indexes. In this session, I will talk about our data-driven approach to automatically estimate optimal indexes from log data of our MongoDB databases. You will learn how we use Google Cloud Functions to stream log data from Stackdriver to Google BigQuery, how we use BigQuery to scale our data analysis, and how we use Python’s Jupyter Notebooks to visualize and monitor our results.
Measure Camp Paris 2017 - Digital Analyst Job Description 2020Optimal Ways
Nicolas Malo, Optimal Ways' founder, animated a session on the job description of the digital analyst in 2020 during the 2017 edition of MeasureCamp Paris.
Data Mesh in Practice - How Europe's Leading Online Platform for Fashion Goes...Dr. Arif Wider
A talk presented by Max Schultze from Zalando and Arif Wider from ThoughtWorks at NDC Oslo 2020.
Abstract:
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
At Zalando - europe’s biggest online fashion retailer - we realised that accessibility and availability at scale can only be guaranteed when moving more responsibilities to those who pick up the data and have the respective domain knowledge - the data owners - while keeping only data governance and metadata information central. Such a decentralized and domain focused approach has recently been coined a Data Mesh.
The Data Mesh paradigm promotes the concept of Data Products which go beyond sharing of files and towards guarantees of quality and acknowledgement of data ownership.
This talk will take you on a journey of how we went from a centralized Data Lake to embrace a distributed Data Mesh architecture and will outline the ongoing efforts to make creation of data products as simple as applying a template.
Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes ...Databricks
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
Webinar: Expanding Retail Frontiers with MongoDBMongoDB
Twenty-first century retailers are facing an increasingly challenging and competitive environment. Given the rise of ecommerce and pressure on margins, retailers are looking for innovative services as well as ways to improve customer service, loyalty and engagement. Leading organizations in retail are choosing MongoDB because of its ability to help them compete, providing superior customer experience and accelerated time to market. In this webinar, hear how MongoDB enables retailers to develop:
Enriched Product Catalog Management
Distribution and Logistics Management
Solutions Real time Analysis of Customer Behavior
The use cases are specific to retail, but the patterns of usage - agility, scale, and global distribution - will be applicable across many industries.
The world of Microsoft Dynamics 365: a new day in your life with DynamicsDXC Eclipse
Microsoft Dynamics 365: Continue Your Transformation Journey.
The world of Microsoft Dynamics 365: a new day in your life with Dynamics
Today, Dynamics 365 delivers more than ever before. It offers the opportunity to take your workforce beyond the standard features of ERP and CRM with a new way of working that will transform your operations.
Presented by Abhinav Saxena - Practice Executive, Microsoft Dynamics 365, DXC Eclipse.
IoT Introduction Architecture and ApplicationsThe IOT Academy
The document provides an overview of the Internet of Things (IoT). It discusses IoT architecture including components like sensors, gateways, cloud platforms and applications. It outlines various IoT applications in different domains like manufacturing, healthcare, transportation etc. The document also discusses challenges in IoT deployment related to interoperability, security and skills. It highlights the importance of skills like embedded systems, cloud computing, data analytics for jobs in IoT domain. Finally, it gives examples of how a company called UCT is applying IoT in products like street lighting, irrigation and building automation.
1. The document discusses Teradata Vantage, a data analytics platform. It introduces Patrick Deglon, VP of Advanced Analytics at Teradata, and covers various topics around machine learning, analytics, and data management challenges.
2. An example is provided of an experiment run by eBay to test the effectiveness of marketing campaigns. Results showed increased purchases when marketing was used.
3. Teradata Vantage is positioned as a solution that can help organizations overcome challenges around data management, analytics, and machine learning by providing unified analytics capabilities across different workloads and data types.
GraphTalk Berlin - Einführung in GraphdatenbankenNeo4j
The document describes an agenda for Neo4j GraphTalks in October 2015 in Germany. The agenda includes:
- Breakfast and networking from 09:00-09:30
- Introduction to graph databases and Neo4j from 09:30-10:00 by Bruno Ungermann from Neo4j
- Kantwert's experience using Neo4j for its first decision network in Germany from 10:00-10:30 by Tilo Walter
- e-Spirit's experience integrating Neo4j into its content management system from 10:30-11:00 by Christoph Feddersen
DataDevOps: A Manifesto for a DevOps-like Culture Shift in Data & AnalyticsDr. Arif Wider
A talk by Sebastian Herold & Dr. Arif Wider at TDWI 2018 Munich.
Abstract:
More and more companies migrate their monolithic applications to a microservices architecture. However, maintaining a consistent and usable data landscape has only become more challenging by this: huge amounts of structured and unstructured data, and hundreds of data sources.
Furthermore, data-driven product development multiplies the analytics requirements: every product team needs constantly updated and specially tailored metrics which often combine product specific data with company wide data.
Having a centralized data team does not scale in this setting as it becomes the bottleneck between data producers and data consumers.
We created a Manifesto based on five general themes which break with traditional separation of roles and show a path how to deal with distributed data in a federal and scalable fashion. This leads to DataDev: a culture shift similar to DevOps in which application developers own their data and take over responsibilities for data & analytics.
Learn about our experiences and best practices with facilitating this cultural transformation at Zalando, one of Europe's largest online fashion platforms.
Powering Real-Time Analytics with Data Virtualization on AWS (ASEAN & ANZ)Denodo
Watch full webinar here: https://bit.ly/3h2yLnb
Presented at AWS Summit Online 2021 (ASEAN & ANZ)
Is your organization challenged with modernizing analytics in the cloud, while driving smarter data integration capabilities? With a logical data warehouse powered by data virtualization, you can combine all of the data across the enterprise and make it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions.
In this session, you will learn how data virtualization helps enterprises gain a unified view of the data across AWS, multi-cloud and hybrid cloud easily with a virtual data layer that abstracts business users from the technical details of where data resides.
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp
ML.NET is an open source, machine learning framework built in .NET and runs on Windows, Linux and macOS. It allows developers to integrate custom machine learning into their applications without any prior expertise in developing or tuning machine learning models. Enhance your .NET apps with sentiment analysis, price prediction, fraud detection and more using custom models built with ML.NET
In this Session, Andy will show not only the core of ML.NET but best practices around Azure Data Lake and data in general when using .NET
In order to move past the hype and achieve the full potential of machine learning, data scientists and software developers need to work more closely together towards their common goal of delivering well-architected, data-driven applications. Every industry is in the process of being transformed by software and data. It is in the collaboration between data scientists and software developers where the real value can be found by creating integrated data workflows that benefit from the unique knowledge and skillsets of each discipline.
The document discusses innovation in business and defines it as the implementation of new ideas to create value through problem resolution or opportunity creation. It then outlines several emerging disruptive technologies in supply chain management like IoT, driverless vehicles, drones, 3D printing, and artificial intelligence. Finally, it discusses trends in smart manufacturing and supply chains that are being driven by these new technologies.
The document discusses how to automate content performance analysis and keyword identification using Python to help marketers more efficiently maintain search engine rankings. It describes connecting to Google Search Console API to analyze metrics like traffic over time for top URLs, identify underperforming pages and keywords compared to past peaks, and output results to a spreadsheet. Automating these processes can benefit marketers by allowing monthly analysis with less effort and updating analysis for multiple websites or markets. Some disadvantages include the initial time spent setting up the automation system, but it is presented as a worthwhile medium-term investment to improve efficiency.
These are the Basic Principles you need in place to Survive the App Store. Primer activity before going into marketing cycles for channels such as aso, paid or social. If you're app doesn't have these then you won't survive.
Many companies start their big data and AI journey by hiring a team of data scientists, give them some data, and expect them to work their miracles. Although it may yield results, it is not an efficient way to use data scientists. We will explain the problems that occur, and how to adapt the context to get business value from data scientists.
- Why data science teams might fail to deliver results
- What data scientists need to be efficient
- What talent you need in addition to data scientists
Who Wants to Become an IT Architect-A Look at the Bigger Picture - DigitalXch...Lucas Jellema
Pitch: The movie The Matrix made it clear: The Architect is powerful. How to be(come) and IT architect? What do you do, what do you need to know, is it fun and why? Using real world examples, core principles and useful tools, this session introduces the subtle art of designing and realizing flexible IT architectures. </p><p>Taking a step back to get and create an overview, frequently asking why to get to the real intention, bringing aspects such as cost, scale, time and change and business strategy into the design and bridging the gap between business owners, process managers and technical specialists. One way to define the responsibility of an IT architect. In this session, we will discuss what is expected of the architect and what you need to do for that and what you could use to get it done. How do you get started as an architect, how to grow in that role? We discuss a number of real life architectural challenges and solution design. And discuss a number of architecture principles, patterns, and powers to apply. Never stop programming - but perhaps rise to the architecture challenge too.
Notes: Many IT professionals aspire to become architects. Many architects wonder what it is they have to do. After 27 years in IT I find I have slowly and steadily moved into a role that I can probably use the label architect for, although still with some reluctance. What exactly does that mean - IT architect? While I may not have all answers and the ultimate truth and wisdom, I do have many architectural challenges to discuss and some core principles to share and a number of tips, tricks and tools to recommend that will help anyone get started or grow in a role as architect for software and IT systems. Elements that make an appearance include cloud, agile, DevOps, microservices, persistence, business, powers of persuasion, diagramming, cost, security, software engineering, data.
Outline: - two real world examples (one new business initiative, one running and struggling project) and how to approach them with an architect's mind - core principles to apply , patterns to us, what to unearth (the power question of WHY) - architecture products: what do you deliver as an architect; how do you ensure agility? - how to be effective? bringing your design to life - communication with stakeholders/powers of persuasion, monitoring adherence, being pragmatic but not lose grip; - anecdotal evidence from several small and large product teams - the good and also the ugly (architectural oversights and the consequences)
some specific answers to address - how much technical knowledge and programming skills does an architect require? What other knowledge is required and how to stay on top of your game? how to get going: first steps towards be(com)ing and architect?
Identity Graph at Scale: Transforming Billions of Page Views to Unique Identi...Neo4j
This document describes Meredith Corporation's development of an identity graph to create unified user profiles from billions of page views across their digital properties. It outlines their proof of concept work connecting user cookies and page visits, challenges scaling this to production levels, and solutions developed including custom import procedures and graph algorithms like UnionFind to efficiently link identities at scale and handle multiple data streams. The identity graph now processes over 20 months of first and third-party data daily to power personalized experiences for Meredith's large audiences.
Managing Database Indexes: A Data-Driven Approach - Amadeus MagrabiAmadeus Magrabi
Talk at the Open Data Science Conference East 2020.
Abstract:
Database indexes can make or break the performance of a database. Efficient indexes need to be tailored to the specific queries that are sent to a database, but since query patterns can vary a lot and change over time, it is often a painful process to manually manage indexes. In this session, I will talk about our data-driven approach to automatically estimate optimal indexes from log data of our MongoDB databases. You will learn how we use Google Cloud Functions to stream log data from Stackdriver to Google BigQuery, how we use BigQuery to scale our data analysis, and how we use Python’s Jupyter Notebooks to visualize and monitor our results.
Measure Camp Paris 2017 - Digital Analyst Job Description 2020Optimal Ways
Nicolas Malo, Optimal Ways' founder, animated a session on the job description of the digital analyst in 2020 during the 2017 edition of MeasureCamp Paris.
Data Mesh in Practice - How Europe's Leading Online Platform for Fashion Goes...Dr. Arif Wider
A talk presented by Max Schultze from Zalando and Arif Wider from ThoughtWorks at NDC Oslo 2020.
Abstract:
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
At Zalando - europe’s biggest online fashion retailer - we realised that accessibility and availability at scale can only be guaranteed when moving more responsibilities to those who pick up the data and have the respective domain knowledge - the data owners - while keeping only data governance and metadata information central. Such a decentralized and domain focused approach has recently been coined a Data Mesh.
The Data Mesh paradigm promotes the concept of Data Products which go beyond sharing of files and towards guarantees of quality and acknowledgement of data ownership.
This talk will take you on a journey of how we went from a centralized Data Lake to embrace a distributed Data Mesh architecture and will outline the ongoing efforts to make creation of data products as simple as applying a template.
Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes ...Databricks
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
Webinar: Expanding Retail Frontiers with MongoDBMongoDB
Twenty-first century retailers are facing an increasingly challenging and competitive environment. Given the rise of ecommerce and pressure on margins, retailers are looking for innovative services as well as ways to improve customer service, loyalty and engagement. Leading organizations in retail are choosing MongoDB because of its ability to help them compete, providing superior customer experience and accelerated time to market. In this webinar, hear how MongoDB enables retailers to develop:
Enriched Product Catalog Management
Distribution and Logistics Management
Solutions Real time Analysis of Customer Behavior
The use cases are specific to retail, but the patterns of usage - agility, scale, and global distribution - will be applicable across many industries.
The world of Microsoft Dynamics 365: a new day in your life with DynamicsDXC Eclipse
Microsoft Dynamics 365: Continue Your Transformation Journey.
The world of Microsoft Dynamics 365: a new day in your life with Dynamics
Today, Dynamics 365 delivers more than ever before. It offers the opportunity to take your workforce beyond the standard features of ERP and CRM with a new way of working that will transform your operations.
Presented by Abhinav Saxena - Practice Executive, Microsoft Dynamics 365, DXC Eclipse.
IoT Introduction Architecture and ApplicationsThe IOT Academy
The document provides an overview of the Internet of Things (IoT). It discusses IoT architecture including components like sensors, gateways, cloud platforms and applications. It outlines various IoT applications in different domains like manufacturing, healthcare, transportation etc. The document also discusses challenges in IoT deployment related to interoperability, security and skills. It highlights the importance of skills like embedded systems, cloud computing, data analytics for jobs in IoT domain. Finally, it gives examples of how a company called UCT is applying IoT in products like street lighting, irrigation and building automation.
1. The document discusses Teradata Vantage, a data analytics platform. It introduces Patrick Deglon, VP of Advanced Analytics at Teradata, and covers various topics around machine learning, analytics, and data management challenges.
2. An example is provided of an experiment run by eBay to test the effectiveness of marketing campaigns. Results showed increased purchases when marketing was used.
3. Teradata Vantage is positioned as a solution that can help organizations overcome challenges around data management, analytics, and machine learning by providing unified analytics capabilities across different workloads and data types.
GraphTalk Berlin - Einführung in GraphdatenbankenNeo4j
The document describes an agenda for Neo4j GraphTalks in October 2015 in Germany. The agenda includes:
- Breakfast and networking from 09:00-09:30
- Introduction to graph databases and Neo4j from 09:30-10:00 by Bruno Ungermann from Neo4j
- Kantwert's experience using Neo4j for its first decision network in Germany from 10:00-10:30 by Tilo Walter
- e-Spirit's experience integrating Neo4j into its content management system from 10:30-11:00 by Christoph Feddersen
DataDevOps: A Manifesto for a DevOps-like Culture Shift in Data & AnalyticsDr. Arif Wider
A talk by Sebastian Herold & Dr. Arif Wider at TDWI 2018 Munich.
Abstract:
More and more companies migrate their monolithic applications to a microservices architecture. However, maintaining a consistent and usable data landscape has only become more challenging by this: huge amounts of structured and unstructured data, and hundreds of data sources.
Furthermore, data-driven product development multiplies the analytics requirements: every product team needs constantly updated and specially tailored metrics which often combine product specific data with company wide data.
Having a centralized data team does not scale in this setting as it becomes the bottleneck between data producers and data consumers.
We created a Manifesto based on five general themes which break with traditional separation of roles and show a path how to deal with distributed data in a federal and scalable fashion. This leads to DataDev: a culture shift similar to DevOps in which application developers own their data and take over responsibilities for data & analytics.
Learn about our experiences and best practices with facilitating this cultural transformation at Zalando, one of Europe's largest online fashion platforms.
Powering Real-Time Analytics with Data Virtualization on AWS (ASEAN & ANZ)Denodo
Watch full webinar here: https://bit.ly/3h2yLnb
Presented at AWS Summit Online 2021 (ASEAN & ANZ)
Is your organization challenged with modernizing analytics in the cloud, while driving smarter data integration capabilities? With a logical data warehouse powered by data virtualization, you can combine all of the data across the enterprise and make it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions.
In this session, you will learn how data virtualization helps enterprises gain a unified view of the data across AWS, multi-cloud and hybrid cloud easily with a virtual data layer that abstracts business users from the technical details of where data resides.
ITCamp 2019 - Andy Cross - Machine Learning with ML.NET and Azure Data LakeITCamp
ML.NET is an open source, machine learning framework built in .NET and runs on Windows, Linux and macOS. It allows developers to integrate custom machine learning into their applications without any prior expertise in developing or tuning machine learning models. Enhance your .NET apps with sentiment analysis, price prediction, fraud detection and more using custom models built with ML.NET
In this Session, Andy will show not only the core of ML.NET but best practices around Azure Data Lake and data in general when using .NET
In order to move past the hype and achieve the full potential of machine learning, data scientists and software developers need to work more closely together towards their common goal of delivering well-architected, data-driven applications. Every industry is in the process of being transformed by software and data. It is in the collaboration between data scientists and software developers where the real value can be found by creating integrated data workflows that benefit from the unique knowledge and skillsets of each discipline.
The document discusses innovation in business and defines it as the implementation of new ideas to create value through problem resolution or opportunity creation. It then outlines several emerging disruptive technologies in supply chain management like IoT, driverless vehicles, drones, 3D printing, and artificial intelligence. Finally, it discusses trends in smart manufacturing and supply chains that are being driven by these new technologies.
Similar to Skills for the Marketer of the Future (20)
The document discusses how to automate content performance analysis and keyword identification using Python to help marketers more efficiently maintain search engine rankings. It describes connecting to Google Search Console API to analyze metrics like traffic over time for top URLs, identify underperforming pages and keywords compared to past peaks, and output results to a spreadsheet. Automating these processes can benefit marketers by allowing monthly analysis with less effort and updating analysis for multiple websites or markets. Some disadvantages include the initial time spent setting up the automation system, but it is presented as a worthwhile medium-term investment to improve efficiency.
These are the Basic Principles you need in place to Survive the App Store. Primer activity before going into marketing cycles for channels such as aso, paid or social. If you're app doesn't have these then you won't survive.
How to find data to improve your mobile app marketing in a few easy steps starting with excel. You'll learn how to spot fake competitor spam reviews in app store and lower your CPI in Facebook.
The document discusses app store optimization (ASO), providing an introduction and overview of the topic. It outlines key aspects of ASO including keyword research and targeting for app titles, descriptions, and keywords; optimizing videos, imagery, and reviews; analyzing competitors; using analytics to track user behavior; and continually testing and refining the ASO strategy. The overall goal of ASO is to increase an app's visibility and rankings in the app stores through search engine optimization techniques tailored specifically for mobile applications.
How To Run A Sucessful Kickstarter CampaignNicholas Duddy
This is my experience of what worked and didn't work when running a crowdfunding campaign on Kickstarter UK.
We launched the Lupo device on Kickstarter at the end of February 2014 and successfully fund the tech startup to 137% of the £20,000 goal.
This document provides a history of SEO from 1999 to 2013, including major events and algorithm updates by Google that impacted the SEO industry. It discusses the founding of Google and their initial search engine algorithms. Major milestones include the launches of AdWords in 2000, and later algorithm updates like Panda in 2010 and Penguin in 2012 that targeted thin content and poor quality links. The tactics of SEOs evolved in response, shifting from tactics like link building to focus more on user experience and quality content. The document predicts Google will continue emphasizing social signals, link quality, authorship and original content.
Basic Management Concepts., “Management is the art of getting things done thr...DilanThennakoon
The managers achieve organizational objectives by getting work from
others and not performing in the tasks themselves.
Management is an art and science of getting work done through people.
It is the process of giving direction and controlling the various activities
of the people to achieve the objectives of an organization Management is a universal process in all organized, social and economic activities. Wherever
there is human activity there is management.
Management is a vital aspect of the economic life of man, which is an organized group activity. A
central directing and controlling agency is indispensable for a business concern. The productive
resources –material, labour, capital etc. are entrusted to the organizing skill, administrative ability
and enterprising initiative of the management. Thus, management provides leadership to a
business enterprise. Without able managers and effective managerial leadership the resources of
production remain merely resources and never become production. Management occupies such an
important place in the modern world that the welfare of the people and the destiny of the country
are very much influenced by it.
1.2 MEANING OF MANAGEMENT
Management is a technique of extracting work from others in an integrated and co-ordinated
manner for realizing the specific objectives through productive use of material resources.
Mobilising the physical, human and financial resources and planning their utilization for business
operations in such a manner as to reach the defined goals can be benefited to as management.
1.3 DEFINITION OF MANAGEMENT
Management may be defined in many different ways. Many eminent authors on the subject have
defined the term "management". Some of these definitions are reproduced below:
In the words of George R Terry - "Management is a distinct process consisting of planning,
organising, actuating and controlling performed to determine and accomplish the objectives by the
use of people and resources".
According to James L Lundy - "Management is principally the task of planning, co¬ordinating,
motivating and controlling the efforts of others towards a specific objective",
In the words of Henry Fayol - "To manage is to forecast and to plan, to organise, to command, to
co-ordinate and to control".
According to Peter F Drucker - "Management is a multipurpose organ that manages a business and
manages managers and manages worker and work".
In the words of J.N. Schulze - "Management is the force which leads, guides and directs an
organisation in the accomplishment of a pre-determined object".
In the words of Koontz and O'Donnel - "Management is defined as the creation and maintenance
of an internal environment in an enterprise where individuals working together in groups can
perform efficiently and effectively towards the attainment of group goals".
According to Ordway Tead - "Management is the process and agency which directs and guides the
operations of an organisation in realising of established aim
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Embark on style journeys Indian clothing store denver guide.pptxOmnama Fashions
Finding the perfect "Indian Clothing Store Denver" is essential for those seeking vibrant, authentic, and culturally rich attire in the heart of Colorado. Denver, a city known for its diverse culture and eclectic fashion scene, offers a variety of options for those in search of traditional and contemporary Indian clothing. Whether you're preparing for a wedding, festival, or cultural event, or simply wish to incorporate the elegance and beauty of Indian fashion into your wardrobe, discovering the right store can make all the difference.
In the face of the news of Google beginning to remove cookies from Chrome (30m users at the time of writing), there’s no longer time for marketers to throw their hands up and say “I didn’t know” or “They won’t go through with it”. Reality check - it has already begun - the time to take action is now. The good news is that there are solutions available and ready for adoption… but for many the race to catch up to the modern internet risks being a messy, confusing scramble to get back to "normal"
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Did you know that while 50% of content on the internet is in English, English only makes up 26% of the world’s spoken language? And yet 87% of customers won’t buy from an English only website.
Uncover the immense potential of communicating with customers in their own language and learn how translation holds the key to unlocking global growth. Join Smartling CEO, Bryan Murphy, as he reveals how translation software can streamline the translation process and seamlessly integrate into your martech stack for optimal efficiency. And that's not all – he’ll also share some inspiring success stories and practical tips that will turbocharge your multilingual marketing efforts!
Key takeaways:
1. The growth potential of reaching customers in their native language
2. Tips to streamline translation with software and integrations to your tech stack
3. Success stories from companies that have increased lead generation, doubled revenue, and more with translation
The advent of AI offers marketers unprecedented opportunities to craft personalized and engaging customer experiences, evolving customer engagements from one-sided conversations to interactive dialogues. By leveraging AI, companies can now engage in meaningful dialogues with customers, gaining deep insights into their preferences and delivering customized solutions.
Susan will present case studies illustrating AI's application in enhancing customer interactions across diverse sectors. She'll cover a range of AI tools, including chatbots, voice assistants, predictive analytics, and conversational marketing, demonstrating how these technologies can be woven into marketing strategies to foster personalized customer connections.
Participants will learn about the advantages and hurdles of integrating AI in marketing initiatives, along with actionable advice on starting this transformation. They will understand how AI can automate mundane tasks, refine customer data analysis, and offer personalized experiences on a large scale.
Attendees will come away with an understanding of AI's potential to redefine marketing, equipped with the knowledge and tactics to leverage AI in staying competitive. The talk aims to motivate professionals to adopt AI in enhancing their CX, driving greater customer engagement, loyalty, and business success.
Top Strategies for Building High-Quality Backlinks in 2024 PPT.pdf1Solutions Pvt. Ltd.
As we move into 2024, the methods for building high-quality backlinks continue to evolve, demanding more sophisticated and strategic approaches. This presentation aims to explore the latest trends and proven strategies for acquiring high-quality backlinks that can elevate your SEO efforts.
Visit:- https://www.1solutions.biz/link-building-packages/
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
We’ve entered a new era in digital. Search and AI are colliding, in more ways than one. And they all have major implications for marketers.
• SEOs now use AI to optimize content.
• Google now uses AI to generate answers.
• Users are skipping search completely. They can now use AI to get answers. So AI has changed everything …or maybe not. Our audience hasn’t changed. Their information needs haven’t changed. Their perception of quality hasn’t changed. In reality, the most important things haven’t changed at all. In this session, you’ll learn the impact of AI. And you’ll learn ways that AI can make us better at the classic challenges: getting discovered, connecting through content and staying top of mind with the people who matter most. We’ll use timely tools to rebuild timeless foundations. We’ll do better basics, but with the most advanced techniques. Andy will share a set of frameworks, prompts and techniques for better digital basics, using the latest tools of today. And in the end, Andy will consider - in a brief glimpse - what might be the biggest change of all, and how to expand your footprint in the new digital landscape.
Key Takeaways:
How to use AI to optimize your content
How to find topics that algorithms love
How to get AI to mention your content and your brand
Can you kickstart content marketing when you have a small team or even a team of one? Why yes, you can! Dennis Shiao, founder of marketing agency Attention Retention will detail how to draw insights from subject matter experts (SMEs) and turn them into articles, bylines, blog posts, social media posts and more. He’ll also share tips on content licensing and how to establish a webinar program. Attend this session to learn how to make an impact with content marketing even when you have a small team and limited resources.
Key Takeaways:
- You don't need a large team to start a content marketing program
- A webinar program yields a "one-to-many" approach to content creation
- Use partnerships and licensing to create new content assets
AI Best Practices for Marketing HUG June 2024Amanda Farrell
During this presentation, the Nextiny marketing team reviews best practices when adopting generative AI into content creation. Join our HUG community to register for more events https://events.hubspot.com/sarasota/
If you’re at all interested in digital
marketing and in making a name for
your brand online, then it is crucial that
you understand how to properly make
use of content marketing. Content
marketing is currently one of the
biggest trends in digital marketing as a
whole and is an area that many website owners and brands are investing in
heavily right now thanks to the impressive returns that they are seeing.
10. questions:
• What is data?
• Is data valuable?
• Is data powerful?
miratrix.co.uk | databoi.com | @nickduddy
11. data is a vessel for power...
only if you can
extract the value
“with great power comes great responsibility”
Uncle Ben
miratrix.co.uk | databoi.com | @nickduddy
12. questions:
• Who owns data?
• Where do we get data?
miratrix.co.uk | databoi.com | @nickduddy
21. why become self-sufficient?
• Better understanding of data, it's sources and the quality
• Building layers of data
• Speed
• Proactive, rather than reactive
• …job security
miratrix.co.uk | databoi.com | @nickduddy
22. what do you need to become self
sufficient?
• Access to raw data
• Clean data
• Push data together
• Run calculation on the data
• Visualise the data
• Come to a conclusion from the data
• Trigger a response from the conclusion
miratrix.co.uk | databoi.com | @nickduddy
23. if data is the new oil, then
python is the
refinery and the pipeline
miratrix.co.uk | databoi.com | @nickduddy
24. what is python and
why is it great?
miratrix.co.uk | databoi.com | @nickduddy
28. scale?
• AWS
• Google Cloud Platform
• Dfinity (decentralised cloud storage and computing)
miratrix.co.uk | databoi.com | @nickduddy
29. ...if you've gotten this far you
might as well just throw a
machine it at…
miratrix.co.uk | databoi.com | @nickduddy
30. benefits of machine learning
• Never sleeps
• Never takes a break
• Less likely to miss patterns, than you
miratrix.co.uk | databoi.com | @nickduddy