Ness Software Product Labs provides offshore software product development services with over 8,300 employees across 18 countries. They have experienced teams with domain expertise and intellectual property. Their business model focuses on software product development through dedicated product labs for clients. They aim to collaborate across the entire product lifecycle from concept to market.
Our report will provide a look into the technology landscape of the future, including:
- Importance of AI in enabling innovation
- Catalysts of future innovations
- Top technology trends in 2023-2024
- Main benefits of AI adoption
- Steps to prepare for future disruptions.
Download your free copy now and implement the key findings to improve your business.
Feature Store as a Data Foundation for Machine LearningProvectus
Looking to design and build a centralized, scalable Feature Store for your Data Science & Machine Learning teams to take advantage of? Come and learn from experts of Provectus and Amazon Web Services (AWS) how to!
Feature Store is a key component of the ML stack and data infrastructure, which enables feature engineering and management. By having a Feature Store, organizations can save massive amounts of resources, innovate faster, and drive ML processes at scale. In this webinar, you will learn how to build a Feature Store with a data mesh pattern and see how to achieve consistency between real-time and training features, to improve reproducibility with time-traveling for data.
Agenda
- Modern Data Lakes & Modern ML Infrastructure
- Existing and Emerging Architectural Shifts
- Feature Store: Overview and Reference Architecture
- AWS Perspective on Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data architects & analysts, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Gandhi Raketla, Senior Solutions Architect, AWS
- German Osin, Senior Solutions Architect, Provectus
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-feature-store-as-data-foundation-for-ml-nov-2020/
ChatGPT for Business: learn generative AI, prompt engineering, process automa...Denys Holovatyi
Generative AI is making a significant impact on industries, often creating a storm-like sensation among those unfamiliar with the field. What to do, where to start, what software and tools to use? In this presentation, we talk about.
* the basics of generative AI and why it’s important
* applied business use cases, how to drive value, how to implement a pilot
* prompt engineering best practices & tools
Also see the recording of our webinar: https://www.youtube.com/watch?v=6Q58COOq0vk
Check out OSNOVA, we build digital products with AI https://osnova.services/en/
My LinkedIn https://www.linkedin.com/in/denysholovatyi/
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationDavid Solomon
The initial version of a maturity roadmap to help guide businesses when adopting AI technology into their workflow. IBM Watson Studio is referenced as an example of technology that can help in accelerating the adoption process.
Building Value - Understanding the TCO and ROI of Apache Kafka & Confluentconfluent
For a product or service to be cost effective, it must be considered to be good value, where the benefits are worth at least what is paid for them. But how do we measure this, to prove the case? Given that value can be intangible, it can be hard to quantify and may have little relationship to cost. Added to this, the open source nature of Apache Kafka means that many companies skip the requirement to build a business case for it, until it has become mission critical and demands financial and human resources.
In this presentation, Lyndon Hedderly, Team Lead of Business Value Consulting at Confluent, will cover how Confluent works with customers to measure the business value of data streaming.
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionBATbern
What powers the AI/ML services of Switzerland's leading telecommunication company? In this talk, we will provide an overview of the different AI/ML projects at Swisscom, from Conversational AI and Recommender Systems to Anomaly Detection. Moreover, we will show how we automate, scale, and operationalise these ML pipelines in production, highlighting the MLOps techniques and open source tools that are used. Finally, we will present Swisscom's roadmap towards the cloud with AWS and discuss how we envision a common MLOps solution for the organisation.
How to use Azure Machine Learning service to manage the lifecycle of your models. Azure Machine Learning uses a Machine Learning Operations (MLOps) approach, which improves the quality and consistency of your machine learning solutions.
Our report will provide a look into the technology landscape of the future, including:
- Importance of AI in enabling innovation
- Catalysts of future innovations
- Top technology trends in 2023-2024
- Main benefits of AI adoption
- Steps to prepare for future disruptions.
Download your free copy now and implement the key findings to improve your business.
Feature Store as a Data Foundation for Machine LearningProvectus
Looking to design and build a centralized, scalable Feature Store for your Data Science & Machine Learning teams to take advantage of? Come and learn from experts of Provectus and Amazon Web Services (AWS) how to!
Feature Store is a key component of the ML stack and data infrastructure, which enables feature engineering and management. By having a Feature Store, organizations can save massive amounts of resources, innovate faster, and drive ML processes at scale. In this webinar, you will learn how to build a Feature Store with a data mesh pattern and see how to achieve consistency between real-time and training features, to improve reproducibility with time-traveling for data.
Agenda
- Modern Data Lakes & Modern ML Infrastructure
- Existing and Emerging Architectural Shifts
- Feature Store: Overview and Reference Architecture
- AWS Perspective on Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data architects & analysts, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Gandhi Raketla, Senior Solutions Architect, AWS
- German Osin, Senior Solutions Architect, Provectus
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-feature-store-as-data-foundation-for-ml-nov-2020/
ChatGPT for Business: learn generative AI, prompt engineering, process automa...Denys Holovatyi
Generative AI is making a significant impact on industries, often creating a storm-like sensation among those unfamiliar with the field. What to do, where to start, what software and tools to use? In this presentation, we talk about.
* the basics of generative AI and why it’s important
* applied business use cases, how to drive value, how to implement a pilot
* prompt engineering best practices & tools
Also see the recording of our webinar: https://www.youtube.com/watch?v=6Q58COOq0vk
Check out OSNOVA, we build digital products with AI https://osnova.services/en/
My LinkedIn https://www.linkedin.com/in/denysholovatyi/
An AI Maturity Roadmap for Becoming a Data-Driven OrganizationDavid Solomon
The initial version of a maturity roadmap to help guide businesses when adopting AI technology into their workflow. IBM Watson Studio is referenced as an example of technology that can help in accelerating the adoption process.
Building Value - Understanding the TCO and ROI of Apache Kafka & Confluentconfluent
For a product or service to be cost effective, it must be considered to be good value, where the benefits are worth at least what is paid for them. But how do we measure this, to prove the case? Given that value can be intangible, it can be hard to quantify and may have little relationship to cost. Added to this, the open source nature of Apache Kafka means that many companies skip the requirement to build a business case for it, until it has become mission critical and demands financial and human resources.
In this presentation, Lyndon Hedderly, Team Lead of Business Value Consulting at Confluent, will cover how Confluent works with customers to measure the business value of data streaming.
MLOps journey at Swisscom: AI Use Cases, Architecture and Future VisionBATbern
What powers the AI/ML services of Switzerland's leading telecommunication company? In this talk, we will provide an overview of the different AI/ML projects at Swisscom, from Conversational AI and Recommender Systems to Anomaly Detection. Moreover, we will show how we automate, scale, and operationalise these ML pipelines in production, highlighting the MLOps techniques and open source tools that are used. Finally, we will present Swisscom's roadmap towards the cloud with AWS and discuss how we envision a common MLOps solution for the organisation.
How to use Azure Machine Learning service to manage the lifecycle of your models. Azure Machine Learning uses a Machine Learning Operations (MLOps) approach, which improves the quality and consistency of your machine learning solutions.
The drive for a more sustainable future is only getting stronger. Regardless of industry, companies are increasingly being judged by the role they play. Learn more.
The Ideal Approach to Application Modernization; Which Way to the Cloud?Codit
Determine your best way to modernize your organization’s applications with Microsoft Azure.
Want to know more? Don't hesitate to download our White Paper 'Making the Move to Application Modernization; Your Compass to Cloud Native': http://bit.ly/39XylZp
Apache Kafka® Use Cases for Financial Servicesconfluent
Traditional systems were designed in an era that predates large-scale distributed systems. These systems often lack the ability to scale to meet the needs of the modern data-driven organisation. Adding to this is the accumulation of technologies and the explosion of data which can result in complex point-to-point integrations where data becomes siloed or separated across the enterprise.
The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka and the Confluent Platform are designed to solve the problems associated with traditional systems and provide a modern, distributed architecture and Real-time Data streaming capability. In addition these technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
There are many questions on what are the best steps and ways to migrate to the cloud better. Enterprises need to have specific steps to follow when migrating to the cloud.
In this solution, we identify those specific steps and processes and how it can be adapted best.
To know more, please get in touch with us at info@blazeclan.com
Micro Focus is uniquely positioned to help customers maximize existing software investments and embrace innovation in a world of hybrid IT—from mainframe to mobile to cloud.
We are one of the largest pure-play software companies in the world, focused from the ground up on building, selling, and supporting software. This focus allows us to deliver on our mission to put customers at the center of innovation and deliver high-quality, enterprise-grade scalable software that our teams can be proud of. We help customers bridge the old and the new by maximizing the ROI on existing software investments and enabling innovation in the new hybrid model for enterprise IT.
We believe that organizations don't need to eliminate the past to make way for the future. Everything we do is based on a simple idea: The quickest, safest way to get results is to build on what you have. Our software does just that. It bridges the gap between existing and emerging technologies—so you can innovate faster, with less risk, in the race to digital transformation.
Keynote: Levi Bailey, Humana | Improving Health with Event-Driven Architectur...confluent
Humana is at the forefront of an industry-wide effort to improve health outcomes while keeping costs in check through improved interoperability. Levi Bailey, Associate Vice President, Cloud Architecture, will share Humana’s vision and how an event-driven architecture, built with Kafka and Confluent, powers the interoperability platforms at the heart of the company’s digital transformation.
Experimentation to Industrialization: Implementing MLOpsDatabricks
In this presentation, drawing upon Thorogood’s experience with a customer’s global Data & Analytics division as their MLOps delivery partner, we share important learnings and takeaways from delivering productionized ML solutions and shaping MLOps best practices and organizational standards needed to be successful.
We open by providing high-level context & answering key questions such as “What is MLOps exactly?” & “What are the benefits of establishing MLOps Standards?”
The subsequent presentation focuses on our learnings & best practices. We start by discussing common challenges when refactoring experimentation use-cases & how to best get ahead of these issues in a global organization. We then outline an Engagement Model for MLOps addressing: People, Processes, and Tools. ‘Processes’ highlights how to manage the often siloed data science use case demand pipeline for MLOps & documentation to facilitate seamless integration with an MLOps framework. ‘People’ provides context around the appropriate team structures & roles to be involved in an MLOps initiative. ‘Tools’ addresses key requirements of tools used for MLOps, considering the match of services to use-cases.
Bitcoin: A Peer-to-Peer Electronic Cash System
Satoshi Nakamoto
satoshin@gmx.com
www.bitcoin.org
Abstract.
A purely peer-to-peer version of electronic cash would allow online
payments to be sent directly from one party to another without going through a
financial institution. Digital signatures provide part of the solution, but the main
benefits are lost if a trusted third party is still required to prevent double-spending.
We propose a solution to the double-spending problem using a peer-to-peer network.
The network timestamps transactions by hashing them into an ongoing chain of
hash-based proof-of-work, forming a record that cannot be changed without redoing
the proof-of-work. The longest chain not only serves as proof of the sequence of
events witnessed, but proof that it came from the largest pool of CPU power. As
long as a majority of CPU power is controlled by nodes that are not cooperating to
attack the network, they'll generate the longest chain and outpace attackers. The
network itself requires minimal structure. Messages are broadcast on a best effort
basis, and nodes can leave and rejoin the network at will, accepting the longest
proof-of-work chain as proof of what happened while they were gone.
An introduction to self-service data with Dremio. Dremio reimagines analytics for modern data. Created by veterans of open source and big data technologies, Dremio is a fundamentally new approach that dramatically simplifies and accelerates time to insight. Dremio empowers business users to curate precisely the data they need, from any data source, then accelerate analytical processing for BI tools, machine learning, data science, and SQL clients. Dremio starts to deliver value in minutes, and learns from your data and queries, making your data engineers, analysts, and data scientists more productive.
The drive for a more sustainable future is only getting stronger. Regardless of industry, companies are increasingly being judged by the role they play. Learn more.
The Ideal Approach to Application Modernization; Which Way to the Cloud?Codit
Determine your best way to modernize your organization’s applications with Microsoft Azure.
Want to know more? Don't hesitate to download our White Paper 'Making the Move to Application Modernization; Your Compass to Cloud Native': http://bit.ly/39XylZp
Apache Kafka® Use Cases for Financial Servicesconfluent
Traditional systems were designed in an era that predates large-scale distributed systems. These systems often lack the ability to scale to meet the needs of the modern data-driven organisation. Adding to this is the accumulation of technologies and the explosion of data which can result in complex point-to-point integrations where data becomes siloed or separated across the enterprise.
The demand for fast results and decision making, have generated the need for real-time event streaming and processing of data adoption in financial institutions to be on the competitive edge. Apache Kafka and the Confluent Platform are designed to solve the problems associated with traditional systems and provide a modern, distributed architecture and Real-time Data streaming capability. In addition these technologies open up a range of use cases for Financial Services organisations, many of which will be explored in this talk. .
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
There are many questions on what are the best steps and ways to migrate to the cloud better. Enterprises need to have specific steps to follow when migrating to the cloud.
In this solution, we identify those specific steps and processes and how it can be adapted best.
To know more, please get in touch with us at info@blazeclan.com
Micro Focus is uniquely positioned to help customers maximize existing software investments and embrace innovation in a world of hybrid IT—from mainframe to mobile to cloud.
We are one of the largest pure-play software companies in the world, focused from the ground up on building, selling, and supporting software. This focus allows us to deliver on our mission to put customers at the center of innovation and deliver high-quality, enterprise-grade scalable software that our teams can be proud of. We help customers bridge the old and the new by maximizing the ROI on existing software investments and enabling innovation in the new hybrid model for enterprise IT.
We believe that organizations don't need to eliminate the past to make way for the future. Everything we do is based on a simple idea: The quickest, safest way to get results is to build on what you have. Our software does just that. It bridges the gap between existing and emerging technologies—so you can innovate faster, with less risk, in the race to digital transformation.
Keynote: Levi Bailey, Humana | Improving Health with Event-Driven Architectur...confluent
Humana is at the forefront of an industry-wide effort to improve health outcomes while keeping costs in check through improved interoperability. Levi Bailey, Associate Vice President, Cloud Architecture, will share Humana’s vision and how an event-driven architecture, built with Kafka and Confluent, powers the interoperability platforms at the heart of the company’s digital transformation.
Experimentation to Industrialization: Implementing MLOpsDatabricks
In this presentation, drawing upon Thorogood’s experience with a customer’s global Data & Analytics division as their MLOps delivery partner, we share important learnings and takeaways from delivering productionized ML solutions and shaping MLOps best practices and organizational standards needed to be successful.
We open by providing high-level context & answering key questions such as “What is MLOps exactly?” & “What are the benefits of establishing MLOps Standards?”
The subsequent presentation focuses on our learnings & best practices. We start by discussing common challenges when refactoring experimentation use-cases & how to best get ahead of these issues in a global organization. We then outline an Engagement Model for MLOps addressing: People, Processes, and Tools. ‘Processes’ highlights how to manage the often siloed data science use case demand pipeline for MLOps & documentation to facilitate seamless integration with an MLOps framework. ‘People’ provides context around the appropriate team structures & roles to be involved in an MLOps initiative. ‘Tools’ addresses key requirements of tools used for MLOps, considering the match of services to use-cases.
Bitcoin: A Peer-to-Peer Electronic Cash System
Satoshi Nakamoto
satoshin@gmx.com
www.bitcoin.org
Abstract.
A purely peer-to-peer version of electronic cash would allow online
payments to be sent directly from one party to another without going through a
financial institution. Digital signatures provide part of the solution, but the main
benefits are lost if a trusted third party is still required to prevent double-spending.
We propose a solution to the double-spending problem using a peer-to-peer network.
The network timestamps transactions by hashing them into an ongoing chain of
hash-based proof-of-work, forming a record that cannot be changed without redoing
the proof-of-work. The longest chain not only serves as proof of the sequence of
events witnessed, but proof that it came from the largest pool of CPU power. As
long as a majority of CPU power is controlled by nodes that are not cooperating to
attack the network, they'll generate the longest chain and outpace attackers. The
network itself requires minimal structure. Messages are broadcast on a best effort
basis, and nodes can leave and rejoin the network at will, accepting the longest
proof-of-work chain as proof of what happened while they were gone.
An introduction to self-service data with Dremio. Dremio reimagines analytics for modern data. Created by veterans of open source and big data technologies, Dremio is a fundamentally new approach that dramatically simplifies and accelerates time to insight. Dremio empowers business users to curate precisely the data they need, from any data source, then accelerate analytical processing for BI tools, machine learning, data science, and SQL clients. Dremio starts to deliver value in minutes, and learns from your data and queries, making your data engineers, analysts, and data scientists more productive.
Der Product Owner ist sicherlich die am häufigsten unterschätzte Rolle aus der agilen Welt. Dabei ist der Product Owner maßgeblich für den Erfolg eines Projektes verantwortlich. Warum der Product Owner für Projekt eine größere Bedeutung hat, als ein Projektleiter, warum es für Projektleiter einen Karriereschritt bedeutet, Product Owner zu werden und was diese Veränderung für Unternehmen bedeutet, möchte dieser Vortrag deutlich machen. Dabei werden sowohl die unterschiedlichen Herangehensweisen des wertorientierten und planorientierten Projektmanagements gegenübergestellt als auch die Methoden und Werkzeuge beleuchtet, die Product Owner gegenüber Projektleitern im Vorteil sein lassen.
The chemical resistance and barrier of TOPAS COC make it an excellent replacement for Barex in many packaging applications, including nicotine patch sealants and more. See our data.
We are a Global Turnkey IT Solution and Technology Service Provider committed to delivering innovative and quality solutions. With deep industry, business process and technology expertise, broad global resources and a proven track record, we collaborate with clients to help them become high-performance organizations. This gives us an edge in mobilizing the right people, skills, and technologies for improving client’s productivity and ROI. Our in-depth experience enables us to deliver high quality and cost-effective product coupled with innovation and a tailor-made solution designed to meet the desired Customer’s needs.
Because it ensures your systems can absorb unexpected spikes in system demand, software performance engineering is central to enterprise risk management. From strategic planning through performance tuning, Software Performance Engineering Services provide for the stability of your existing and planned systems and safeguard the success of your business and IT investments.
Building a Data Streaming Center of Excellence With Steve Gonzalez and Derek ...HostedbyConfluent
Building a Data Streaming Center of Excellence With Steve Gonzalez and Derek Kane | Current 2022
How do you accelerate success with data streaming at your organization? After developing an interest and recognizing the potential value in using Data Streaming technologies like Apache Kafka, organizations often struggle with implementing best practices at scale, and subsequently struggle in navigating the path to desired returns on investment (ROI).
This talk explores a solution to overcome common roadblocks and delays to realizing value at your organization - building a Data Streaming Center of Excellence (CoE). We will discuss the keys to success including workstreams and services required of a CoE, repeatable standards and guidance, supporting a community of practice, and more. You will see examples of use case templates, runbooks and documentation, team structures, and in general garner a better understanding of how you may implement a CoE given your unique culture, priorities, and streaming maturity level.
This will be an introductory-level talk that appeals to technical as well as non-technical personnel considering or building a central shared service offering for an organization. It is also ideal for managers or executives wondering how they might drive accelerated, large-scale adoption of data streaming across their enterprise in a governed, repeatable fashion.
Web and Mobile Experts - Noto It SolutionsAshish Sharma
We are it Professionals working on new and upgraded technologies which includes React.js, Node.js, ROR, PHP, .net , mobile applications , etc. We are based in India and our sales offices are located in USA and CANADA.
Nvent Enabling The Data Driven EnterpriseGrafic.guru
Nvent helps customers achieve long term business success, our consultants have a solid track record and have the highest customer satisfaction ratings in the industry.
We stood up a new multi million dollar revenue generating green technology line of business for a billion dollar company at a fraction of the cost in a fraction of the time.
How did we do it? We have a formula for success and it works.
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4. Global Reach, Local Presence Canada United States Portugal United Kingdom Israel Spain Italy India Singapore Malaysia Thailand NESS Offices NESS Technology Centers Netherlands Czech Republic Slovakia Switzerland Romania Germany Hungary
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6. Ness Software Product Labs: The Next Generation Managed Lab The Science of Software Product Engineering True Collaboration for Competitive Advantage • Global distributed development know-how • Governance and operations excellence • Release management and functional expertise across the product life cycle to ensure stability, speed, and repeatability • Software development labs that enable successful transfers based on clear methodologies The Art of Software Product Development • A foundation of horizontal technology expertise, accrued domain competency, and business and end-user knowledge • A thoughtful advisor to help make today’s products better • A knowledgeable partner to help create next-generation products that break the mold • An engagement model to shape each lab to the client’s unique needs • A foundation of mutual respect and shared goals creates mutual success • Creating a clear sightline to end users, so we know what’s crucial to deliver value
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9. Global Delivery Capabilities—India+ Most providers are still India centric; Ness provides a consistent governance and a multi-shore approach nurturing local talent India Eastern Europe Israel Locations Bangalore, Hyderabad, Mumbai, Pune Slovakia, Hungary, Czech Republic, Romania Beer Sheva, Tel Aviv Ness Presence 2800 staff 2000 staff 2000 staff Advantage Faster maturity, scale, high tech ecosystem Proximity to Western Europe, high retention rates Sophisticated technology skills, high tech ecosystem The leader, increasingly complemented by other locations Often first choice for Europe, an important global alternative Rich source of fundamental research and domain skills
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12. Complete Software Product Lifecycle Capabilities Level 1 Level 2 System Analysis Architecture & Design Porting & Migration Globalization Development & Unit Testing Full Product Release Release Management Configuration Management Integration & Systems Load & Scalability Stress Performance & Conformance Usability Level 3
13. Experience Across the Full Software Product Lifecycle Product Management Product Roadmap Requirements Analysis Development System Analysis Architecture & Design Development & Unit Testing Porting & Migration Globalization Testing & QA Integration & Systems Load & Scalability & Stress Performance & Conformance Usability Release Engineering Full Product Release Release & Configuration Management Sustenance Engineering (L3) Professional Services Technical Support (L1& L2) Technical Publications Process Audits
14. Ness Software Product Labs: We’re Passionate About Your Products We Build on Your Process. “ We were interested in a flexible and creative partner who shared our approach to proactive problem solving. The fact that we consider the Ness center exactly like our in-house development labs is indicative of the success of the center and the nature of our relationship.” – Hervé Couturier, EVP Products Group, Business Objects S.A. We Speak Your Product. “ I was really blown away by the process of the organization and the operations. It stands out over the various companies that I have worked with in the past.” – Dain Ehring, CEO, Dorado Corporation “ Large IT service providers nail the contract and do as little as possible. The relationship with Ness is different. We receive larger share of mind and willingness to work with us, which is very important to the partnership.” – Richard Thomas, CTO, Quintiles We Extend Your Business.