The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
How to keep pace with changing technology and increase speed-to-value. In order to keep pace in a constantly evolving marketplace, organizations need a new model for sourcin IT services. Sourcing has become one of the most critical functions of the IT organization.
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Understanding Big Data: Strategies to Re-envision Decision-Making
Amy Mayer, Vice President, Capgemini
Oracle Analytics Leader, North America
Presented at Oracle OpenWorld 2012
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
TDWI Checklist - The Automation and Optimization of Advanced Analytics Based ...Vasu S
A whitepaper of TDWI checklist, drills into the data, tools, and platform requirements for machine learning to to identify goals and areas of improvement for current project
https://www.qubole.com/resources/white-papers/tdwi-checklist-the-automation-and-optimzation-of-advanced-analytics-based-on-machine-learning
How to keep pace with changing technology and increase speed-to-value. In order to keep pace in a constantly evolving marketplace, organizations need a new model for sourcin IT services. Sourcing has become one of the most critical functions of the IT organization.
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Understanding Big Data: Strategies to Re-envision Decision-Making
Amy Mayer, Vice President, Capgemini
Oracle Analytics Leader, North America
Presented at Oracle OpenWorld 2012
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
TDWI Checklist - The Automation and Optimization of Advanced Analytics Based ...Vasu S
A whitepaper of TDWI checklist, drills into the data, tools, and platform requirements for machine learning to to identify goals and areas of improvement for current project
https://www.qubole.com/resources/white-papers/tdwi-checklist-the-automation-and-optimzation-of-advanced-analytics-based-on-machine-learning
Accelerating Fast Data Strategy with Data VirtualizationDenodo
"Information from the past won't support the insights of the future - businesses need real-time data," said Forrester Analyst Noel Yuhanna. In this presentation, he explains the challenges of latent data faced by business users, the need to accelerate fast data strategy using data virtualization, and the implications of such strategy.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/a2xNyZ.
Advanced Analytics and Machine Learning with Data Virtualization (India)Denodo
Watch full webinar here: https://bit.ly/3dMN503
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
The presentation is a introduction to Big Data and analytics, how to go about enabling big data and analytics in our company, what are the main differences between big data analytics vs. traditional analytics and how to get started.
This material was used at the SAS Big Data Analytics event held in Helsinki on 19th of April 2011.
The slides are copyright of Accenture.
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
Enabling a Culture of Self-Service AnalyticsPrecisely
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
Modern Integrated Data Environment - Whitepaper | QuboleVasu S
A whit-paper is about building a modern data platform for data driven organisations with using cloud data warehouse with modern data platform architecture
https://www.qubole.com/resources/white-papers/modern-integrated-data-environment
As per the PfMP Certification, it is critical to keep track of project progress in order to keep the timetable on track. Six elements included in comprehensive project reports are mentioned here.
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Breakthrough experiments in data science: Practical lessons for successAmanda Sirianni
Leading firms are integrating data science capabilities within their organizations to capture the untapped potential of data science as a source for competitive advantage. Yet, many enterprises are challenged to successfully integrate these capabilities for sustained value and to measure its worth for the organization. This analytics study conducted by the IBM Center for Applied Insights uses practical advice from those seeing the benefits to establish a proven success formula for integrating a data science capability within your organization.
To learn more: www.ibm.com/ibmcai/data-science
My goal today is to inspire you to make a strong business case for applying big data in your enterprise, a key part of which is taking big data beyond analytics.
Tomorrow’s industry leaders are the ones that draw new insights by creatively combining the data they have today. That can be a real challenge for most companies, especially since data types and volumes have grown astronomically over the last decade. And when you pair that with the tasks of gathering, organizing, and managing information from all over an organization and ensuring its accuracy, you have quite a job on your hands. But with our comprehensive portfolio of enterprise information management solutions, your business can unlock the power of its data, achieve entirely new insights, and use them to create a winning future.
Accelerating Fast Data Strategy with Data VirtualizationDenodo
"Information from the past won't support the insights of the future - businesses need real-time data," said Forrester Analyst Noel Yuhanna. In this presentation, he explains the challenges of latent data faced by business users, the need to accelerate fast data strategy using data virtualization, and the implications of such strategy.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/a2xNyZ.
Advanced Analytics and Machine Learning with Data Virtualization (India)Denodo
Watch full webinar here: https://bit.ly/3dMN503
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
The presentation is a introduction to Big Data and analytics, how to go about enabling big data and analytics in our company, what are the main differences between big data analytics vs. traditional analytics and how to get started.
This material was used at the SAS Big Data Analytics event held in Helsinki on 19th of April 2011.
The slides are copyright of Accenture.
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
Enabling a Culture of Self-Service AnalyticsPrecisely
As enterprises strive to create a more data-driven culture, they want to put more data in the hands of more users across the organization. However, not all enterprise data is easy to access and understand, and most decision-makers lack the expertise to evaluate the quality of the data they’re using to know if it’s fit for purpose.
To enable a culture of self-service analytics companies must get all of their data into one place where it can be accessed – like an enterprise data marketplace – and ensure its quality so it can be trusted by the data consumers.
View this webinar on-demand to hear from Matt Aslett, Research VP, Data, AI and Analytics, 451 Research and Jennifer Cheplick, Senior Director, Syncsort about how a combination of technology and cultural change can enable enterprises to provide a foundation of data integration and data quality that arms your organization’s data consumers with the functionality to enable self-service analytics.
Modern Integrated Data Environment - Whitepaper | QuboleVasu S
A whit-paper is about building a modern data platform for data driven organisations with using cloud data warehouse with modern data platform architecture
https://www.qubole.com/resources/white-papers/modern-integrated-data-environment
As per the PfMP Certification, it is critical to keep track of project progress in order to keep the timetable on track. Six elements included in comprehensive project reports are mentioned here.
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Breakthrough experiments in data science: Practical lessons for successAmanda Sirianni
Leading firms are integrating data science capabilities within their organizations to capture the untapped potential of data science as a source for competitive advantage. Yet, many enterprises are challenged to successfully integrate these capabilities for sustained value and to measure its worth for the organization. This analytics study conducted by the IBM Center for Applied Insights uses practical advice from those seeing the benefits to establish a proven success formula for integrating a data science capability within your organization.
To learn more: www.ibm.com/ibmcai/data-science
My goal today is to inspire you to make a strong business case for applying big data in your enterprise, a key part of which is taking big data beyond analytics.
Tomorrow’s industry leaders are the ones that draw new insights by creatively combining the data they have today. That can be a real challenge for most companies, especially since data types and volumes have grown astronomically over the last decade. And when you pair that with the tasks of gathering, organizing, and managing information from all over an organization and ensuring its accuracy, you have quite a job on your hands. But with our comprehensive portfolio of enterprise information management solutions, your business can unlock the power of its data, achieve entirely new insights, and use them to create a winning future.
BIG DATA is having an enormous impact on the profile of workforces around the world. If you've ever seen the technology and experienced the impact it has on the pace of innovation in a business then the predictations made by McKinsey Global Institute will come as no surprise ( and just in case you've been on holiday for around two years, McKinsey is suggesting that by 2018 the US will face a shortfall of close to 200,000 analysts and 1.5 million managers with the right skills. In this presentation I outline the impact of BIG DATA on workforce design. I hope you find it informative and fun to read. Ian.
Investing in AI: Moving Along the Digital Maturity CurveCognizant
Digitally mature businesses are more likely to consider themselves at an advanced stage of AI adoption, according to our recent study, enabling them to turn data into insights at the scale and precision required today.
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Therefore in order to acknowledge some of the greatest contributors of excellence in ICT solutions space, Insights Success has shortlisted “The 10 Most Innovative ICT Disruptors to watch in 2019”
The 10 Most Admired Analytics Companies to Watch in 2018Merry D'souza
We introduce “The 10 Most Admired Analytics Companies to Watch in 2018”, in order to assist businesses to choose their right analytics companies. Assessing the scenario in versatile perceptions, our magazine has brought light onto the companies, who have flaunted excellence in providing technologically advanced analytics solutions. This list showcases the analytics companies which are creating a better ‘Analytics’ world.
IT Integration Done Right
It may or may not surprise you, but about 70% – 90% of M&As fail, for one reason or another. The integration of two companies into one functional unit inevitably involves great change. Culture, business strategies, and many other variables need to be adapted to fit new environments, people, and goals.
Are you prepared to take on the pressure and complexity of an IT M&A? Our new M&A Playbook for IT is your roadmap to navigating the biggest IT integration challenges and driving business goals.
In this strategy brief, find out:
-The three common M&A pitfalls that CIOs must avoid
-How to improve synergy, lower costs, and shorten time to market
-How to determine the right level of IT integration for your company
Strategies to Address Regulation in SourcingWGroup
Regulatory Changes Impacting Sourcing and Automation – What could it mean for your business?
There is currently a tremendous amount of uncertainty among sourcing professionals as the outsourcing world as we know it is being challenged. Possible regulatory changes have the potential to significantly impact how organizations operate, and may completely change the future state of outsourcing. We explore important questions like:
- What if there is a tariff placed on outsourced or offshore resources?
- What could changes in H-1B visas mean for a global technology workforce?
- How could Bill Gates’ “Robot Tax” on automation impact process improvement initiatives?
- And more…
This is a review of the potential paths of sourcing regulation, detailing the top potential risks, and outlining strategies that could be employed to respond.
IAOP OWS 17 Leveraging Outsourcing to Modernize While Maintaining ApplicationsWGroup
Anthem’s New AMS Approach Proves You Don’t Need to Pick One or the Other:
Learn how a new approach to AMS sourcing can enable the modernization of core IT systems and maintenance of applications in parallel. See Anthem’s playbook and methodology for this innovative sourcing delivery model.
Learn how to stratify which suppliers can truly help you transform core systems, and which ones that may only be able to handle tasks. See the evaluation criteria that Anthem leveraged in assessing its suppliers for transformational work.
Understand the potential for running modernization and maintenance in an integrated effort, as opposed to separate initiatives.
Is your project a losing battle? We've alI seen IT projects that failed, whether in our own organizations or observed elsewhere (hopefully the latter) One common attribute of failing projects is the Gambler's Paradox, where the gambler - the project manager - continues to gamble in the hope of recouping losses, resulting in even greater losses. We believe that milestone based project management LS superior to traditional project management.
Using market-based comparisons to drive transformation planning for a private healthcare hospital system. Are your technology costs in line with what best-practice outsourcing providers would charge for similar work? This is a case study showing how a market assessment led to a transformational roadmap - and the chance for a hospital system to save millions of dollars.
IT Strategic Sourcing Can Relieve the Squeeze on HealthcareWGroup
See how WGroup helped a major healthcare system develop more cost effective IT sourcing strategies. WGroup's analysis and recommendation will help the client develop more sophisticated IT sourcing strategies — to leverage synergies between institutes, improve patient and employee experiences, and reduce costs.
In this document, the five disruptive trends shaping the corporate IT landscape today are layed out. Out of the five, Big Data has the biggest potential to generate new sustainable competitive advantages. But the benefits will remain out of reach of many organizations as they struggle to adopt the technology, develop new capabilities, and manage the cultural change associated with the use of big data. This document offers a pragmatic approach to generating business value.
Next generation IT outsourcing and the global enterprise model (GEM)WGroup
Disruptive technologies such as cloud computing and the “as-a-service” model for software, infrastructure and platforms have led to fundamental changes in how IT services are organized, managed and delivered—whether they are outsourced, insourced or a combination. The reality that IT services can be delivered to anywhere on the globe via the “Cloud” has accelerated the commoditization of IT. Ubiquitous access to IT services has lessened business units’ dependency on internal IT and shifted the IT organization’s prime role from process excellence to technology and service innovation. This article discusses through WGroup's perspective how outsourcing can create value through changing the way business is done.
Across the corporate landscape IT functions are completing their transformation to a service-orientation. Slowly but surely, “governance” has become a core mission, if not yet the core competency, of the IT organization. Governance involves many fronts and addresses many levels – there is architectural governance, IT finance and projects governance, and of course, supplier governance. All call for new skills and new structures. WGroup collectively brings decades of hands-on experience in IT supplier management to assist our clients with the multi-supplier challenge – from building the governance structures to defining sourcing strategies to facilitating contract reviews to transition management. This states how WGroup would implement a multi-supplier governance model successfully.
Management model for exploratory investment in IT WGroup
The ability to evaluate these new technologies in a practical environment where their technological value and impact on business and IT operations can be assessed is extremely important. Exploratory efforts should be structured and controlled similarly to other major projects and in addition should be evaluated for use in the production environment. In addition to evaluating the technical capabilities and practical application of the new technology, IT must evaluate the “fit” of the new technology in the existing service portfolio or catalog. In this article, WGroup has developed a new class of IT investment, referred to as “Exploratory,” along with a supporting management model to guide the effort through the evaluation phases and ensure a tight fit within the service catalog.
Most sourcing organizations focus on direct procurement, potentially overlooking indirect procurement and missing key opportunities to reduce spend. As indirect purchases increasingly become a larger percentage of overall spend, for many organizations, indirect procurement can be a diamond in the rough. This article makes the arguement that the value of indirect procurement should not be overlooked.
Even with the maturity of outsourcing, one of the most important yet often overlooked or minimized aspect of an outsourcing transaction continues to be the relationship management and governance model. The objective of the relationship management model is to ensure the anticipated benefits of an outsourcing relationship are realized in the most efficient manner. It must be based on the terms of the agreement and link the management processes of the two parties in order to govern the working relationship and achieve results. This article highlights the governance and relationship management model developed and implemented to support a sourcing strategy is the single most important factor in the realization of success in an outsourcing relationship. It also shares WGroup’s experience in advising on the creation and management of outsourcing relationships and governance and guiding clients in the development and implementation of sourcing strategies for existing contracts.
There are five disruptive forces shaping IT today, but none has more wide-ranging impact on all enterprises than the emergence of cloud as a preferred means of service delivery. This article discusses the cloud industry and how WGroup can help give client a competitive advantage using a service delivery strategy and new IT operating models.
With the role of key vendors growing in importance and with more vendors being introduced into the workplace, effective vendor management has become a critical capability of any enterprise. This document describes how the design (or redesign) of the VMO needs to be approached with a focus on enlisting top skills, implementing effective processes and tools and establishing an organization whose role is clearly defined in the enterprise.
This article takes a look at the 5 disruptive trends that are effectively changing the role of the CIO and the IT function— a shift in responsibility for IT to business units; the convergence of IT and business process outsourcing; the onset of big data, analytics, social and mobility; the commoditization of IT; and the consumerization of IT. The 5 drivers of transformation are: responsibility for IT is moving the business, convergence of ITO and BPO, mobility and analytics, commodiziation of IT, and consumerization of IT.
Five principles for improving your cyber securityWGroup
Corporate assets have been shifting from physical assets to virtual assets over the past 20 years. This trend has been accompanied by a corresponding increase in the vulnerability of intangible assets, leading to a greater general awareness of corporate cyber security risks. The alteration or destruction of a company’s data can result in harm to reputation, loss of public confidence, disruption to infrastructure, and legal sanctions. The security risk can adversely impact a company’s stock price and competitive position in the marketplace. In this document, WGroup cites 5 principles that will help improve a business's cyber security. The 5 principles are risk identification, risk management, legal implications, technical expertise, and expectations.
Outsourcing has evolved rapidly, especially during the last year. These changes are primarily due to technological advances, although the increasing globalization of business is also a factor. The attributes of the best IT outsourcing leaders also are shifting in response to this evolution. These attributes may generally be classified into personal characteristics and strategy. This document gives WGroup's perspective on 15 attributes shared by top IT leaders. The top 5 attributes are organization, cloud computing, standardization, renegotiation, and supplier risk.
11 things IT leaders need to know about the internet of things WGroup
The Internet of Things (IoT) is the next phase in the evolution of the Internet. More than 100 devices connect to the Internet every second. By 2020, Cisco estimates that number to be more than 250 per second. Morgan Stanley projects the Internet will be loaded with 75 billion devices by the end of the decade. This document discusses WGroup's perspective on what 11 things IT leaders need to know about IoT.
Five ways to develop a successful outsourcing contractWGroup
WGroup perspective paper on how to develop a successful outsourcing contratct--A few key aspects of an outsourcing contract typically drive its projected savings and return on investment (ROI). You must carefully consider all of these areas to avoid mixed financial results on your outsourcing project. Strategizing the following five areas can help you develop a successful outsourcing contract. The 5 key ways are contract components, unit pricing, resource volume, dead bands, and renegotiation bands.
E-book discussing the new IoT, which is a network. Like the internet, the IoT connects people. This e-book expolores the booming growth of IoT, what it means for companies now, and how your business can leverage it to drive business goals.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
13. Drive Your Business
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