An Enterprise Ontology is a formal representation of the meaning of an enterprise's information. Historically creating one has been a laborious process that took many months, often years to complete.
Recent advances in technology and methodology have now made it possible to build a core enterprise ontology in a matter of weeks, and to refine it gracefully over time. In this presentation we will describe what an enterprise ontology is and distinguish it from a conceptual or logical data model. We will present how the combination of structure free and formal inclusion gives power and flexibility simultaneously.
We will show through case studies how companies have been able to build ontologies rapidly and how they have leverage their enterprise ontology onto such diverse initiatives as: Enterprise Message Modeling, Integrating Structured and Unstructured Data, Model Driven Application Development and Master Data Management.
After attending this webinar, you will be able to:
* Describe what an Enterprise Ontology is
* Explain the value in creating an Enterprise Ontology
* Outline the approach and prerequisites for creating an Enterprise Ontology
* Suggest projects that could be greatly enhanced by applying an Enterprise Ontology
(Download slideshow to see slide builds)
The term ontology is used a lot in our profession but rarely do we define what ontology is or what it is supposed to accomplish. Ontology is actually a very effective method to describe things and their relationships. Come to the Ontology Dojo to:
Find out that ontology really is not that scary.
Learn skills to help understand large information and data problems.
Supercharge your deliverables (especially concept maps).
No ontology skills are needed, but you will leave fully armed to take on any ontology problem!
Video version of the presentation from 2016 IA Summit: http://bit.ly/29bTrqE
A data lake promises cheap storage and ubiquitous access for all of your enterprise data. However, most organizations are struggling to make sense of the data in the lake. How do you harmonize, add meaning, govern, secure and offer business self-service to your data lake? You build a Smart Data Lake.
How Companies can Effectively Work with Open Source CommunitiesAll Things Open
Joe Brockmeier
Manager with the Community Team (Open Source and Standards office) with Red Hat
All Things Open
October 26-27, 2016
Raleigh, North Carolina
(Download slideshow to see slide builds)
The term ontology is used a lot in our profession but rarely do we define what ontology is or what it is supposed to accomplish. Ontology is actually a very effective method to describe things and their relationships. Come to the Ontology Dojo to:
Find out that ontology really is not that scary.
Learn skills to help understand large information and data problems.
Supercharge your deliverables (especially concept maps).
No ontology skills are needed, but you will leave fully armed to take on any ontology problem!
Video version of the presentation from 2016 IA Summit: http://bit.ly/29bTrqE
A data lake promises cheap storage and ubiquitous access for all of your enterprise data. However, most organizations are struggling to make sense of the data in the lake. How do you harmonize, add meaning, govern, secure and offer business self-service to your data lake? You build a Smart Data Lake.
How Companies can Effectively Work with Open Source CommunitiesAll Things Open
Joe Brockmeier
Manager with the Community Team (Open Source and Standards office) with Red Hat
All Things Open
October 26-27, 2016
Raleigh, North Carolina
OPS™ can be used by innovators & entrepreneurs as a guiding factor in deciding as to which innovation opportunity they should invest their time, money and efforts on
SLIDESHARE: FROM A PIVOT TO BEING ACQUIRED FOR $118 MILLION Anirudh Narayan
SlideShare needs no introduction. It went from being a pivot of an already successful consulting business (Uzanto) and a pioneering software (MindCanvas) to being a force to reckon with in the professional content community present online. SlideShare had established its behemoth position in the content space when it was acquired by LinkedIn that helped leverage its reach among other perks. Here is a quick look at all that went into making it the Quiet (not so quiet now) Giant of Content Marketing.
Most project managers understand that effective communication is essential to project success. And most are familiar with and use Microsoft Project. However, many project managers are not aware of the rich functional benefits that can be realized from Microsoft’s integration of its products. This webinar will expose and demonstrate why and how the application of integrated Microsoft tools can dramatically improve your communication skills and increase project delivery success.
Big Data Day LA 2016/ Data Science Track - Backstage to a Data Driven Culture...Data Con LA
When you're the first data professional at the organization there are technical, process, and qualitative considerations for analytics and data science to address (A/DS). This talk is an overview of strategy, infrastructure, and tools for creating your first A/DS stacks. At this stage, the range of problems that you are able to solve relate to organization, operational, data engineering, business intelligence, and communication. Creating the optimal A/DS stack can seamlessly pave the way to big data and integrating the newest technologies in the future. Please share your stories and experience with us as well. Outline of talk, where sections intend to be interactive and get feedback from the audience:
1. So you're the first Data Scientist
2. Setting Their Expectations
3. Lay of the Land - Data requirements and organizational survey
4. Setting Your Expectations
5. Infrastructure - Your Stack Options
6. Resources: Get Help, Get a Team
7. Discussion
TRANSFORMATION DESIGN is a new approch to organizational change management. It is based on Design Thinking, Collaboration and Gamification. It is prooven and brings great results in your change initiatives. Try it out.
Professional and Clean PowerPoint slides. Fully editable, perfect to impress your audience on your next presentation.
1. FULL HD Aspect Ratio: 16:9 (1900×1080)
2. Fully animated
3. Quickly, Easy and Fully Editable in PowerPoint (All Graphic Resizable and Editable)
4. Drag and Drop Images
5. Print Version Included (A4 Handouts Ready)
6. Retina Ready
7. Data charts (Editable via Excel)
8. Sync in SharePoint
9. Based on Master Slide
10. Pictures Placeholder Ready
11. PPTX and PPT Files
12. Vector icons as Shape
Note: Not need Photoshop – All Photos not included
From my presentation at the Internet Summit 2011 in Raleigh, NC. Focused on leveraging skills as a 'designer as website maker' to 'designer as catalyst.' Illustrating four areas where catalysts can approach adaptive challenges (wicked problems) and urging a move from user-centric design towards community-centric design.
Training Slides of Workshop on the Strategic Planning Model, discussing the importance of Strategic Planning.
For further information regarding the course, please contact:
info@asia-masters.com
www.asia-masters.com
SEO Optimization Proposal Presentation Template
If you want to buy this presentation template, please visit http://punkl.com
Creating a presentation from scratch can be quite labour-intensive. Starting with a presentation template from Punkl is beneficial. It saves time, provides good visual design and means that you can primarily spend your time and attention on the content of your presentation.
Punkl Presentation Templates save you time, as they're a whole lot quicker than trying to design a deck from scratch. Also, starting with a template means that you can primarily spend your time and attention on the content of your presentation, while the visual style is already designed to be engaging.
Typically, the only elements that are changed while working with a presentation template are colors, typography, copy and any visual assets such as photos for example.
Technical Specification:
100 presentation slides in total.
50 unique and editable presentation slides design.
2 options of color themes variation.
16:9 HD widescreen slide format (1920 x 1080 pixels).
Image placeholder with slide master.
No need Adobe Photoshop or any other image editor.
Fully editable text.
Icons variation are included.
RGB color mode.
Drag and drop image to screen mockups.
Additional Note:
Photos in the preview are not included.
Vector Shape Illustrations are included.
Fonts used are not included, they could be dowloaded from the links on the Documentation File.
Prohibited Usage of Items:
Items Incorporated Into End-Products Cannot be Extracted or Used Separately
You cannot allow items incorporated into end-products to be extracted or used separately from the end-product, **including the vector illustrations and any other vector shapes**.
Enjoy and have a great day! :)
Usage:
Advertising Presentation, Architecture Presentation, Activity Presentation, Brand Guidelines Presentation, Business Presentation, Church Presentation, Cool Presentation, Creative Presentation, Education Presentation, Event Presentation, Finance Presentation, Keynote Presentation, Listing Presentation, Marketing Presentation, Medical Presentation, Pitch Deck Presentation, Product Presentation, Professional Presentation, Sales Presentation, Simple Presentation, Technology Presentation, Programs Presentation, Personal Presentation, Fashion Presentation, Promo Presentation, Shop Presentation, Boutique Presentation, Outlet Presentation, etc.
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion.
In this research-based session, I’ll discuss what the components are in multiple modern enterprise analytics stacks (i.e., dedicated compute, storage, data integration, streaming, etc.) and focus on total cost of ownership.
A complete machine learning infrastructure cost for the first modern use case at a midsize to large enterprise will be anywhere from $3 million to $22 million. Get this data point as you take the next steps on your journey into the highest spend and return item for most companies in the next several years.
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
Do you ever wonder how data-driven organizations fuel analytics, improve customer experience, and accelerate business productivity? They are successful by governing and mastering data effectively so they can get trusted data to those who need it faster. Efficient data discovery, mastering and democratization is critical for swiftly linking accurate data with business consumers. When business teams can quickly and easily locate, interpret, trust, and apply data assets to support sound business judgment, it takes less time to see value.
Join data mastering and data governance experts from Informatica—plus a real-world organization empowering trusted data for analytics—for a lively panel discussion. You’ll hear more about how a single cloud-native approach can help global businesses in any economy create more value—faster, more reliably, and with more confidence—by making data management and governance easier to implement.
More Related Content
Similar to Smart Data Webinar (SLIDES): Agile Enterprise Ontology
OPS™ can be used by innovators & entrepreneurs as a guiding factor in deciding as to which innovation opportunity they should invest their time, money and efforts on
SLIDESHARE: FROM A PIVOT TO BEING ACQUIRED FOR $118 MILLION Anirudh Narayan
SlideShare needs no introduction. It went from being a pivot of an already successful consulting business (Uzanto) and a pioneering software (MindCanvas) to being a force to reckon with in the professional content community present online. SlideShare had established its behemoth position in the content space when it was acquired by LinkedIn that helped leverage its reach among other perks. Here is a quick look at all that went into making it the Quiet (not so quiet now) Giant of Content Marketing.
Most project managers understand that effective communication is essential to project success. And most are familiar with and use Microsoft Project. However, many project managers are not aware of the rich functional benefits that can be realized from Microsoft’s integration of its products. This webinar will expose and demonstrate why and how the application of integrated Microsoft tools can dramatically improve your communication skills and increase project delivery success.
Big Data Day LA 2016/ Data Science Track - Backstage to a Data Driven Culture...Data Con LA
When you're the first data professional at the organization there are technical, process, and qualitative considerations for analytics and data science to address (A/DS). This talk is an overview of strategy, infrastructure, and tools for creating your first A/DS stacks. At this stage, the range of problems that you are able to solve relate to organization, operational, data engineering, business intelligence, and communication. Creating the optimal A/DS stack can seamlessly pave the way to big data and integrating the newest technologies in the future. Please share your stories and experience with us as well. Outline of talk, where sections intend to be interactive and get feedback from the audience:
1. So you're the first Data Scientist
2. Setting Their Expectations
3. Lay of the Land - Data requirements and organizational survey
4. Setting Your Expectations
5. Infrastructure - Your Stack Options
6. Resources: Get Help, Get a Team
7. Discussion
TRANSFORMATION DESIGN is a new approch to organizational change management. It is based on Design Thinking, Collaboration and Gamification. It is prooven and brings great results in your change initiatives. Try it out.
Professional and Clean PowerPoint slides. Fully editable, perfect to impress your audience on your next presentation.
1. FULL HD Aspect Ratio: 16:9 (1900×1080)
2. Fully animated
3. Quickly, Easy and Fully Editable in PowerPoint (All Graphic Resizable and Editable)
4. Drag and Drop Images
5. Print Version Included (A4 Handouts Ready)
6. Retina Ready
7. Data charts (Editable via Excel)
8. Sync in SharePoint
9. Based on Master Slide
10. Pictures Placeholder Ready
11. PPTX and PPT Files
12. Vector icons as Shape
Note: Not need Photoshop – All Photos not included
From my presentation at the Internet Summit 2011 in Raleigh, NC. Focused on leveraging skills as a 'designer as website maker' to 'designer as catalyst.' Illustrating four areas where catalysts can approach adaptive challenges (wicked problems) and urging a move from user-centric design towards community-centric design.
Training Slides of Workshop on the Strategic Planning Model, discussing the importance of Strategic Planning.
For further information regarding the course, please contact:
info@asia-masters.com
www.asia-masters.com
SEO Optimization Proposal Presentation Template
If you want to buy this presentation template, please visit http://punkl.com
Creating a presentation from scratch can be quite labour-intensive. Starting with a presentation template from Punkl is beneficial. It saves time, provides good visual design and means that you can primarily spend your time and attention on the content of your presentation.
Punkl Presentation Templates save you time, as they're a whole lot quicker than trying to design a deck from scratch. Also, starting with a template means that you can primarily spend your time and attention on the content of your presentation, while the visual style is already designed to be engaging.
Typically, the only elements that are changed while working with a presentation template are colors, typography, copy and any visual assets such as photos for example.
Technical Specification:
100 presentation slides in total.
50 unique and editable presentation slides design.
2 options of color themes variation.
16:9 HD widescreen slide format (1920 x 1080 pixels).
Image placeholder with slide master.
No need Adobe Photoshop or any other image editor.
Fully editable text.
Icons variation are included.
RGB color mode.
Drag and drop image to screen mockups.
Additional Note:
Photos in the preview are not included.
Vector Shape Illustrations are included.
Fonts used are not included, they could be dowloaded from the links on the Documentation File.
Prohibited Usage of Items:
Items Incorporated Into End-Products Cannot be Extracted or Used Separately
You cannot allow items incorporated into end-products to be extracted or used separately from the end-product, **including the vector illustrations and any other vector shapes**.
Enjoy and have a great day! :)
Usage:
Advertising Presentation, Architecture Presentation, Activity Presentation, Brand Guidelines Presentation, Business Presentation, Church Presentation, Cool Presentation, Creative Presentation, Education Presentation, Event Presentation, Finance Presentation, Keynote Presentation, Listing Presentation, Marketing Presentation, Medical Presentation, Pitch Deck Presentation, Product Presentation, Professional Presentation, Sales Presentation, Simple Presentation, Technology Presentation, Programs Presentation, Personal Presentation, Fashion Presentation, Promo Presentation, Shop Presentation, Boutique Presentation, Outlet Presentation, etc.
Similar to Smart Data Webinar (SLIDES): Agile Enterprise Ontology (20)
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion.
In this research-based session, I’ll discuss what the components are in multiple modern enterprise analytics stacks (i.e., dedicated compute, storage, data integration, streaming, etc.) and focus on total cost of ownership.
A complete machine learning infrastructure cost for the first modern use case at a midsize to large enterprise will be anywhere from $3 million to $22 million. Get this data point as you take the next steps on your journey into the highest spend and return item for most companies in the next several years.
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
Do you ever wonder how data-driven organizations fuel analytics, improve customer experience, and accelerate business productivity? They are successful by governing and mastering data effectively so they can get trusted data to those who need it faster. Efficient data discovery, mastering and democratization is critical for swiftly linking accurate data with business consumers. When business teams can quickly and easily locate, interpret, trust, and apply data assets to support sound business judgment, it takes less time to see value.
Join data mastering and data governance experts from Informatica—plus a real-world organization empowering trusted data for analytics—for a lively panel discussion. You’ll hear more about how a single cloud-native approach can help global businesses in any economy create more value—faster, more reliably, and with more confidence—by making data management and governance easier to implement.
What is data literacy? Which organizations, and which workers in those organizations, need to be data-literate? There are seemingly hundreds of definitions of data literacy, along with almost as many opinions about how to achieve it.
In a broader perspective, companies must consider whether data literacy is an isolated goal or one component of a broader learning strategy to address skill deficits. How does data literacy compare to other types of skills or “literacy” such as business acumen?
This session will position data literacy in the context of other worker skills as a framework for understanding how and where it fits and how to advocate for its importance.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Data Catalogs Are the Answer – What Is the Question?DATAVERSITY
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
In this webinar, Bob will focus on:
-Selecting the appropriate metadata to govern
-The business and technical value of a data catalog
-Building the catalog into people’s routines
-Positioning the data catalog for success
-Questions the data catalog can answer
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “Big Data,” “NoSQL,” “Data Scientist,” and so on. Few realize that all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, data modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization. This webinar illustrates data modeling as a key activity upon which so much technology and business investment depends.
Specific learning objectives include:
- Understanding what types of challenges require data modeling to be part of the solution
- How automation requires standardization on derivable via data modeling techniques
- Why only a working partnership between data and the business can produce useful outcomes
Analytics play a critical role in supporting strategic business initiatives. Despite the obvious value to analytic professionals of providing the analytics for these initiatives, many executives question the economic return of analytics as well as data lakes, machine learning, master data management, and the like.
Technology professionals need to calculate and present business value in terms business executives can understand. Unfortunately, most IT professionals lack the knowledge required to develop comprehensive cost-benefit analyses and return on investment (ROI) measurements.
This session provides a framework to help technology professionals research, measure, and present the economic value of a proposed or existing analytics initiative, no matter the form that the business benefit arises. The session will provide practical advice about how to calculate ROI and the formulas, and how to collect the necessary information.
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Enterprise data literacy. A worthy objective? Certainly! A realistic goal? That remains to be seen. As companies consider investing in data literacy education, questions arise about its value and purpose. While the destination – having a data-fluent workforce – is attractive, we wonder how (and if) we can get there.
Kicking off this webinar series, we begin with a panel discussion to explore the landscape of literacy, including expert positions and results from focus groups:
- why it matters,
- what it means,
- what gets in the way,
- who needs it (and how much they need),
- what companies believe it will accomplish.
In this engaging discussion about literacy, we will set the stage for future webinars to answer specific questions and feature successful literacy efforts.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
As DATAVERSITY’s RWDG series hurdles into our 12th year, this webinar takes a quick look behind us, evaluates the present, and predicts the future of Data Governance. Based on webinar numbers, hot Data Governance topics have evolved over the years from policies and best practices, roles and tools, data catalogs and frameworks, to supporting data mesh and fabric, artificial intelligence, virtualization, literacy, and metadata governance.
Join Bob Seiner as he reflects on the past and what has and has not worked, while sharing examples of enterprise successes and struggles. In this webinar, Bob will challenge the audience to stay a step ahead by learning from the past and blazing a new trail into the future of Data Governance.
In this webinar, Bob will focus on:
- Data Governance’s past, present, and future
- How trials and tribulations evolve to success
- Leveraging lessons learned to improve productivity
- The great Data Governance tool explosion
- The future of Data Governance
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
Would you share your bank account information on social media? How about shouting your social security number on the New York City subway? We didn’t think so either – that’s why data governance is consistently top of mind.
In this webinar, we’ll discuss the common Cloud data governance best practices – and how to apply them today. Join us to uncover Google Cloud’s investment in data governance and learn practical and doable methods around key management and confidential computing. Hear real customer experiences and leave with insights that you can share with your team. Let’s get solving.
Topics that you will hear addressed in this webinar:
- Understanding the basics of Cloud Incident Response (IR) and anticipated data governance trends
- Best practices for key management and apply data governance to your day-to-day
- The next wave of Confidential Computing and how to get started, including a demo
It is a fascinating, explosive time for enterprise analytics.
It is from the position of analytics leadership that the enterprise mission will be executed and company leadership will emerge. The data professional is absolutely sitting on the performance of the company in this information economy and has an obligation to demonstrate the possibilities and originate the architecture, data, and projects that will deliver analytics. After all, no matter what business you’re in, you’re in the business of analytics.
The coming years will be full of big changes in enterprise analytics and data architecture. William will kick off the fifth year of the Advanced Analytics series with a discussion of the trends winning organizations should build into their plans, expectations, vision, and awareness now.
Too often I hear the question “Can you help me with our data strategy?” Unfortunately, for most, this is the wrong request because it focuses on the least valuable component: the data strategy itself. A more useful request is: “Can you help me apply data strategically?” Yes, at early maturity phases the process of developing strategic thinking about data is more important than the actual product! Trying to write a good (must less perfect) data strategy on the first attempt is generally not productive –particularly given the widespread acceptance of Mike Tyson’s truism: “Everybody has a plan until they get punched in the face.” This program refocuses efforts on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. It also contributes to three primary organizational data goals. Learn how to improve the following:
- Your organization’s data
- The way your people use data
- The way your people use data to achieve your organizational strategy
This will help in ways never imagined. Data are your sole non-depletable, non-degradable, durable strategic assets, and they are pervasively shared across every organizational area. Addressing existing challenges programmatically includes overcoming necessary but insufficient prerequisites and developing a disciplined, repeatable means of improving business objectives. This process (based on the theory of constraints) is where the strategic data work really occurs as organizations identify prioritized areas where better assets, literacy, and support (data strategy components) can help an organization better achieve specific strategic objectives. Then the process becomes lather, rinse, and repeat. Several complementary concepts are also covered, including:
- A cohesive argument for why data strategy is necessary for effective data governance
- An overview of prerequisites for effective strategic use of data strategy, as well as common pitfalls
- A repeatable process for identifying and removing data constraints
- The importance of balancing business operation and innovation
Who Should Own Data Governance – IT or Business?DATAVERSITY
The question is asked all the time: “What part of the organization should own your Data Governance program?” The typical answers are “the business” and “IT (information technology).” Another answer to that question is “Yes.” The program must be owned and reside somewhere in the organization. You may ask yourself if there is a correct answer to the question.
Join this new RWDG webinar with Bob Seiner where Bob will answer the question that is the title of this webinar. Determining ownership of Data Governance is a vital first step. Figuring out the appropriate part of the organization to manage the program is an important second step. This webinar will help you address these questions and more.
In this session Bob will share:
- What is meant by “the business” when it comes to owning Data Governance
- Why some people say that Data Governance in IT is destined to fail
- Examples of IT positioned Data Governance success
- Considerations for answering the question in your organization
- The final answer to the question of who should own Data Governance
It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This program describes what must be done at the programmatic level to achieve better data use and a way to implement this as part of your data program. The approach combines DMBoK content and CMMI/DMM processes – permitting organizations with the opportunity to benefit from the best of both. It also permits organizations to understand:
- Their current Data Management practices
- Strengths that should be leveraged
- Remediation opportunities
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
MLOps is a practice for collaboration between Data Science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning” and “operations,” MLOps applies DevOps principles to ML delivery, enabling the delivery of ML-based innovation at scale to result in:
Faster time to market of ML-based solutions
More rapid rate of experimentation, driving innovation
Assurance of quality, trustworthiness, and ethical AI
MLOps is essential for scaling ML. Without it, enterprises risk struggling with costly overhead and stalled progress. Several vendors have emerged with offerings to support MLOps: the major offerings are Microsoft Azure ML and Google Vertex AI. We looked at these offerings from the perspective of enterprise features and time-to-value.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found