This document summarizes key insights from a McKinsey presentation on customer journey analytics and big data. It finds that companies are storing large amounts of data but few know how to extract value from it. Analyzing customer journeys rather than individual touchpoints provides more predictive insights into customer satisfaction and churn. Mapping important customer journeys in an industry reveals opportunities to improve the customer experience and reduce costs. The presentation provides an example of a retail bank that identified ways to decrease service costs and improve customer satisfaction by analyzing its customer journey data.
Building a Community Within a (Big) Company - Roo ReynoldsRoo Reynolds
The document provides tips for engaging in virtual worlds, including starting small, building and joining communities, having some structure while leaving space, being creative, and getting buy-in from others. It emphasizes focusing on people and relationships rather than just the virtual space itself. The document also expresses IBM's belief that virtual worlds provide significant opportunities for business and society, and encourages employees to explore and help develop such spaces responsibly for relationship building and collaboration.
As enterprises go about their Big Data adoption journey, there are many pressing questions at hand. What are the Big Data capabilities they desire? How will they leverage Big Data for greater business value? How can they find a solution that delivers both speed and outcomes? Let’s find out with our Big Data experts.
Big Data, customer analytics and loyalty marketingKevin May
Want to improve the customer experience while optimizing customer service, marketing spend and wallet share?
In this FREE webinar from Tnooz and IBM, attendees learn the benefits of big data analytics including:
Developing persona-level customer segmentation.
Improving products/services launches.
Optimizing return on marketing spend.
Utilizing social media analytics.
Webinar presenters are:
Kurt Wedgwood – information agenda consultant for travel and transportation, IBM
Tzaras Christon – executive vice president for growth, Aginity
Kevin May - editor and moderator, Tnooz
Gene Quinn - CEO and producer, Tnooz
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
The document discusses how organizations can fund their big data and analytics initiatives through incremental revenues, cost savings, and more effective marketing spending. It outlines typical stages in a company's analytics journey and provides case studies showing how analytics has been used to increase revenues by 2.5x, decrease costs by $2,190, and improve customer satisfaction by 63%. The key message is that most companies are not fully leveraging the data they already have and that properly implemented analytics can significantly improve customer engagement and drive strong returns.
This document provides an introduction to big data analytics and data science, covering topics such as the growth of data, what big data is, the emergence of big data tools, traditional and new data management architectures including data lakes, and big data analytics. It also discusses roles in data science including data scientists and data visualization.
5 Crucial Considerations for Big data adoptionQubole
As a relatively new technology, Hadoop adoption is risky. There are 5 crucial considerations organizations should make when selecting a big data vendor.
This document summarizes key insights from a McKinsey presentation on customer journey analytics and big data. It finds that companies are storing large amounts of data but few know how to extract value from it. Analyzing customer journeys rather than individual touchpoints provides more predictive insights into customer satisfaction and churn. Mapping important customer journeys in an industry reveals opportunities to improve the customer experience and reduce costs. The presentation provides an example of a retail bank that identified ways to decrease service costs and improve customer satisfaction by analyzing its customer journey data.
Building a Community Within a (Big) Company - Roo ReynoldsRoo Reynolds
The document provides tips for engaging in virtual worlds, including starting small, building and joining communities, having some structure while leaving space, being creative, and getting buy-in from others. It emphasizes focusing on people and relationships rather than just the virtual space itself. The document also expresses IBM's belief that virtual worlds provide significant opportunities for business and society, and encourages employees to explore and help develop such spaces responsibly for relationship building and collaboration.
As enterprises go about their Big Data adoption journey, there are many pressing questions at hand. What are the Big Data capabilities they desire? How will they leverage Big Data for greater business value? How can they find a solution that delivers both speed and outcomes? Let’s find out with our Big Data experts.
Big Data, customer analytics and loyalty marketingKevin May
Want to improve the customer experience while optimizing customer service, marketing spend and wallet share?
In this FREE webinar from Tnooz and IBM, attendees learn the benefits of big data analytics including:
Developing persona-level customer segmentation.
Improving products/services launches.
Optimizing return on marketing spend.
Utilizing social media analytics.
Webinar presenters are:
Kurt Wedgwood – information agenda consultant for travel and transportation, IBM
Tzaras Christon – executive vice president for growth, Aginity
Kevin May - editor and moderator, Tnooz
Gene Quinn - CEO and producer, Tnooz
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
The document discusses how organizations can fund their big data and analytics initiatives through incremental revenues, cost savings, and more effective marketing spending. It outlines typical stages in a company's analytics journey and provides case studies showing how analytics has been used to increase revenues by 2.5x, decrease costs by $2,190, and improve customer satisfaction by 63%. The key message is that most companies are not fully leveraging the data they already have and that properly implemented analytics can significantly improve customer engagement and drive strong returns.
This document provides an introduction to big data analytics and data science, covering topics such as the growth of data, what big data is, the emergence of big data tools, traditional and new data management architectures including data lakes, and big data analytics. It also discusses roles in data science including data scientists and data visualization.
5 Crucial Considerations for Big data adoptionQubole
As a relatively new technology, Hadoop adoption is risky. There are 5 crucial considerations organizations should make when selecting a big data vendor.
You can receive our Powerpoint slides by sharing this presentation and submitting your email at www.slidebooks.com | Digital Transformation Strategy Template and Training | By ex-Deloitte and McKinsey Consultants
This document discusses the status of big data adoption and highlights of big data technologies. It provides an overview of Hadoop and its ecosystem, along with common cluster sizes and topologies. It then discusses technologies like HBase, HDFS, Parquet, and Kudu for structured data storage and processing. Benchmarks show Kudu outperforming HBase and Parquet in various operations. The document also describes a near-real-time data lake solution built using Zwoox for ingestion and Kafka as a message bus. Emerging trends of IoT and data science are briefly mentioned.
As the core SQL processing engine of the Greenplum Unified Analytics Platform, the Greenplum Database delivers Industry leading performance for Big Data Analytics while scaling linearly on massively parallel processing clusters of standard x86 servers. This session reviews the product's underlying architecture, identify key differentiation areas, go deep into the new features introduced in Greenplum Database Release 4.2, and discuss our plans for 2012.
Big Data and advanced analytics are critical topics for executives today. But many still aren't sure how to turn that promise into value. This presentation provides an overview of 16 examples and use cases that lay out the different ways companies have approached the issue and found value: everything from pricing flexibility to customer preference management to credit risk analysis to fraud protection and discount targeting. For the latest on Big Data & Advanced Analytics: http://mckinseyonmarketingandsales.com/topics/big-data
Why do companies need to manage the entire customer experience? New analysis reveals that the entire customer journey - the series of interactions with a brand - is more important than any single touchpoint experience. Leading companies identify and effectively manage a few "key journeys." When companies perfect managing the entire customer journey, they reap significant benefits—including enhanced customer and employee satisfaction, reduced customer churn, increased revenue, lower costs, improved organizational collaboration, and competitive advantage. Presented at the Harvard Business Review webinar. For more on customer decision journeys: http://mckinseyonmarketingandsales.com/topics/customer-decision-journey
The document summarizes McKinsey & Company's research on promoting gender diversity in organizations over several years from 2007 to 2012. Some of the key findings include: (1) Companies with more women in top executive positions tend to have better financial performance; (2) Leadership behaviors more commonly seen in female leaders (such as people development) improve organizational health; (3) Getting more women into leadership requires action at societal, governmental, company and individual levels.
This document provides an overview of big data. It defines big data as large volumes of diverse data that are growing rapidly and require new techniques to capture, store, distribute, manage, and analyze. The key characteristics of big data are volume, velocity, and variety. Common sources of big data include sensors, mobile devices, social media, and business transactions. Tools like Hadoop and MapReduce are used to store and process big data across distributed systems. Applications of big data include smarter healthcare, traffic control, and personalized marketing. The future of big data is promising with the market expected to grow substantially in the coming years.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
You can receive our Powerpoint slides by sharing this presentation and submitting your email at www.slidebooks.com | Digital Transformation Strategy Template and Training | By ex-Deloitte and McKinsey Consultants
This document discusses the status of big data adoption and highlights of big data technologies. It provides an overview of Hadoop and its ecosystem, along with common cluster sizes and topologies. It then discusses technologies like HBase, HDFS, Parquet, and Kudu for structured data storage and processing. Benchmarks show Kudu outperforming HBase and Parquet in various operations. The document also describes a near-real-time data lake solution built using Zwoox for ingestion and Kafka as a message bus. Emerging trends of IoT and data science are briefly mentioned.
As the core SQL processing engine of the Greenplum Unified Analytics Platform, the Greenplum Database delivers Industry leading performance for Big Data Analytics while scaling linearly on massively parallel processing clusters of standard x86 servers. This session reviews the product's underlying architecture, identify key differentiation areas, go deep into the new features introduced in Greenplum Database Release 4.2, and discuss our plans for 2012.
Big Data and advanced analytics are critical topics for executives today. But many still aren't sure how to turn that promise into value. This presentation provides an overview of 16 examples and use cases that lay out the different ways companies have approached the issue and found value: everything from pricing flexibility to customer preference management to credit risk analysis to fraud protection and discount targeting. For the latest on Big Data & Advanced Analytics: http://mckinseyonmarketingandsales.com/topics/big-data
Why do companies need to manage the entire customer experience? New analysis reveals that the entire customer journey - the series of interactions with a brand - is more important than any single touchpoint experience. Leading companies identify and effectively manage a few "key journeys." When companies perfect managing the entire customer journey, they reap significant benefits—including enhanced customer and employee satisfaction, reduced customer churn, increased revenue, lower costs, improved organizational collaboration, and competitive advantage. Presented at the Harvard Business Review webinar. For more on customer decision journeys: http://mckinseyonmarketingandsales.com/topics/customer-decision-journey
The document summarizes McKinsey & Company's research on promoting gender diversity in organizations over several years from 2007 to 2012. Some of the key findings include: (1) Companies with more women in top executive positions tend to have better financial performance; (2) Leadership behaviors more commonly seen in female leaders (such as people development) improve organizational health; (3) Getting more women into leadership requires action at societal, governmental, company and individual levels.
This document provides an overview of big data. It defines big data as large volumes of diverse data that are growing rapidly and require new techniques to capture, store, distribute, manage, and analyze. The key characteristics of big data are volume, velocity, and variety. Common sources of big data include sensors, mobile devices, social media, and business transactions. Tools like Hadoop and MapReduce are used to store and process big data across distributed systems. Applications of big data include smarter healthcare, traffic control, and personalized marketing. The future of big data is promising with the market expected to grow substantially in the coming years.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Beginning Your Big Data & Analytics Adoption Journey
1. Beginning your
Big Data & Analytics
adoption journey.
Brought to you by
By IBM, for midsize businesses
2. Big Data & Analytics doesn’t always
mean big data sets. For midsize
businesses, it can simply mean “more
data than you’re used to.” So no matter
your size, beginning your big data and
analytics adoption journey is vital to
the success of your company—and it’s
easier than you think. Discover the four
stages now.
Big Data & Analytics
for the midmarket.
Brought to you by
3. The first stage of the adoption
journey starts with building a base of
knowledge to create an understanding
of the opportunities and potential
benefits of big data and analytics to
the organization.
Educate
Brought to you by
4. Educate
Key Actions:
Brought to you by
Identify the desired business outcomes
Begin the discussion in your organization
Determine the appropriate stakeholders
Create a list of questions and discussion points
5. In this stage, the organization
determines a quantifiable business case,
aligned with the company’s business
objectives, that takes into consideration
existing data, the technology foundation,
and the organization’s analytics skills
and capabilities.
Brought to you by
Explore
6. Explore
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Key Actions:
Design a blueprint to secure executive sponsorship
Build a solid technology foundation
Create a business case that focuses on fostering new revenue,
increasing efficiency and mitigating risk
Assess and identify your analytics skills and needs to get the
most from your data
7. In this third stage, to prove the
value of big data and analytics to
the organization, many companies
undertake proof-of-concept
initiatives to validate requirements
and quantify expected returns.
Brought to you by
Engage
8. Establish a step-by-step roadmap aligned with business goals
Create and define a funding process that prioritizes future projects
Determine defined connections between outcomes and
outlined activity
Use quantifiable results to transition from executive strategy to
LOB action
Brought to you by
Engage
Key Actions:
9. Organizations in this stage, the
most sophisticated of big data
and analytics adoption, are fully
leveraging big data to change
the way they do business. And
analytics is already informing
the decision making within the
enterprise.
Brought to you by
Execute
10. Get insights through dashboards, reports and analysis
Use statistical analytics, data and text mining, and predictive
modeling to reveal patterns
Utilize forecasting to create dynamic and efficient planning cycles
Gain a context-relevant view of business through discovery
and exploration
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Execute
Key Actions:
11. Get the full story on the Big
Data Analytics journey.
Download the full eBook, Getting started with
Big Data Analytics: What you need to know.
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