This document discusses the need for combining big data and ethnography. It summarizes that big data alone is not sufficient and can lead to issues like bias, incomplete representations, and misinterpretations without context. Ethnography provides thick contextual data through open-ended research methods like observation and interviews. The document advocates a mixed methods approach, using ethnography to understand problems and qualitative insights to complement and validate quantitative big data findings. This leads to more human and reflective understandings that benefit both innovation and optimization.
this is the analysis done by me on telecom sector. in this there is the objective of survey, its introduction and to make it more clear i have taken the example of airtel company and with this example i have explained everything.
this is the analysis done by me on telecom sector. in this there is the objective of survey, its introduction and to make it more clear i have taken the example of airtel company and with this example i have explained everything.
The businesses at Bharti Airtel have been structured into three individual strategic business units (SBU’s) - Mobile Services, Airtel Telemedia Services & Enterprise Services.
Building Sensemaking Capacity: Drawing Insights From Anthropological ThinkingMatt Artz
Businesses, according to an IBM global study of 1500 CEOs, are facing a rapid escalation of complexity. Capitalizing on complexity and customer intimacy to create innovative ways of delivering value are business’ significant challenges. The study further revealed that “enterprises today are not equipped to cope effectively with this complexity in the global environment.” To help address this problem, we advocate drawing insights from anthropological thinking.
Increasingly, traditional business practices are proving not fully adequate to identify, interpret and robustly understand implications of emerging developments. This is due to our tendency, whether we are trying to make sense of consumer markets, design products or lead a corporate culture, to often try to understand problems we face based on what we already know, instead of seeking that which we truly do not.
The value-add of drawing insights from anthropological thinking is found in its ability to help uncover unknown unknowns that exist and explain the “why.” To more effectively address the most pressing business problems and make better strategic decisions, we need to build sensemaking capacity to “make the strange familiar and the familiar strange” while developing empathy to understand humans and giving them a voice.
This paper provides examples of successful corporate breakthroughs aided by insights drawn from anthropological thinking. It highlights how theories and methods of anthropology, particularly ethnography and phenomenology, can be applied to help develop a rich understanding of complex business situations. The paper also provides some suggestions for incorporating anthropological thinking towards building our sensemaking capacity.
Lead Author: Dr. Uldarico Rex Dumdum, Marywood University
Co-author: Matt Artz, Azimuth Labs
The businesses at Bharti Airtel have been structured into three individual strategic business units (SBU’s) - Mobile Services, Airtel Telemedia Services & Enterprise Services.
Building Sensemaking Capacity: Drawing Insights From Anthropological ThinkingMatt Artz
Businesses, according to an IBM global study of 1500 CEOs, are facing a rapid escalation of complexity. Capitalizing on complexity and customer intimacy to create innovative ways of delivering value are business’ significant challenges. The study further revealed that “enterprises today are not equipped to cope effectively with this complexity in the global environment.” To help address this problem, we advocate drawing insights from anthropological thinking.
Increasingly, traditional business practices are proving not fully adequate to identify, interpret and robustly understand implications of emerging developments. This is due to our tendency, whether we are trying to make sense of consumer markets, design products or lead a corporate culture, to often try to understand problems we face based on what we already know, instead of seeking that which we truly do not.
The value-add of drawing insights from anthropological thinking is found in its ability to help uncover unknown unknowns that exist and explain the “why.” To more effectively address the most pressing business problems and make better strategic decisions, we need to build sensemaking capacity to “make the strange familiar and the familiar strange” while developing empathy to understand humans and giving them a voice.
This paper provides examples of successful corporate breakthroughs aided by insights drawn from anthropological thinking. It highlights how theories and methods of anthropology, particularly ethnography and phenomenology, can be applied to help develop a rich understanding of complex business situations. The paper also provides some suggestions for incorporating anthropological thinking towards building our sensemaking capacity.
Lead Author: Dr. Uldarico Rex Dumdum, Marywood University
Co-author: Matt Artz, Azimuth Labs
As the shortage of trained data scientists threatens to prevent firms from reaching their analytical potential, a new class of products and services is emerging that promises to relieve the stress on enterprise management. These new tools are making it easier for “citizen data scientists” to create and use models based on their understanding of the business logic and their data, rather than data science fundamentals.
This webinar will present an overview of the new tool landscape and highlight features, benefits, and potential pitfalls for naive adopters. Will they eliminate the need for Data Scientists? Not yet, but they may be just what your firm needs now.
over the past ten years, data has grown on the Internet, and we are the fuel and haste of this increase. Business owners, they produce apps for us, and we feed these companies with our data, unfortunately, it is all our private data. In the end, we become, through our private data, a commodity that is sold to the highest bidder.
Without security, not even privacy. Ethical oversight and constraints are needed to ensure that an appropriate balance. This article will cover: the contents of big data, what it includes, how data is collected, and the process of involving it on the Internet. In addition, it discuss the analysis of data, methods of collecting it, and factors of ethical challenges. Furthermore, the user's rights, which must be observed, and the privacy the user has.
What Are The Latest Trends in Data Science?Bernard Marr
The benefits of a data-driven approach to business are well established but not set in stone. The relentless march of technological progress means the boundaries of what is possible are constantly being redrawn, spawning new behaviors, trends and buzzwords.
Convergence of AI, IoT, Big Data and Blockchain: A Review.
Kefa Rabah .
Mara Research, Nairobi, Kenya .
Abstract
Data is the lifeblood of any business. Today, big data has applications in just about every industry – retail, healthcare,
financial services, government, agriculture, customer service among others. Any organization that can assimilate data
to answer nagging questions about their operations can benefit from big data. In overall, the demand for big data
transcend across all sectors and business. Those who work to understand their customers’ business and their problems
will be able to proactively identify big data solutions appropriate to their needs, and thus gain competitive advantage
over their competitors. Job demand for people with big data skill-set is also in the rise especially professional,
scientific and technical services; information technology; manufacturing; and finance and insurance; and retail.
DevOps is baseless without the cloud. IoT needs cloud to operate efficiently, for computing is required by the cloud
operate efficiently. AI remained only as model up until the advent of big data. Blockchain and related distributed
ledger technologies are disrupting the technology sector as we know it. The confluence of technologies is just
inevitable and often they are beneficial especially today when usher in the 4th industrial revolution (Rabah, 2017a)
and the forth coming machine economy (Rabah, 2018). More-so, data is a key ingredient of approaches to developing
AI and machine learning, which are now being applied to a wide variety of uses, from stock trading to chatbots to
self-driving cars. There is barely a business or human activity today that is not considered as a target for AI in future
years and decades.
Struggling with Data Science in 2023? Challenges and Roadmap to SuccessUtah Tech Labs
The data science industry is transforming at a break-neck speed, and staying on top of it is both thrilling and challenging.
Take a look at some of the industry’s best insights!
The Art of Storytelling in Data Science: It's not just about numbers. The real magic happens when data is transformed into actionable insights and communicated effectively.
Data Privacy & Ethics: A Deloitte survey revealed 80% of consumers demand more transparency in how their data is used. IDC predicts worldwide spending on data privacy tech to reach $2.1 billion by end of 2023.
Big Data Complexity: Beyond the 3Vs (Volume, Velocity, Variety), big data continues to challenge traditional processing and storage methods.
AI Explainability: Explainable AI techniques like SHAP values and LIME are essential to make black-box models understandable.
NLP Applications: Expanding in chatbots, sentiment analysis, language translation, and more. Those who master these tools will see increased efficiency and profits.
Algorithm Bias and Fairness: Diversity in team compositions and fairness-aware algorithms can help mitigate algorithmic bias.
Edge Computing and IoT: Limited resources, data management, and cybersecurity are key challenges to tackle.
Cybersecurity and Data Protection: Compliance with GDPR, CCPA and other regulations make data security a top priority.
The future of Data Science is bright, but it demands an adaptable, ethical, and continuously learning mindset. Let's embrace these challenges as opportunities to shape the future of this exciting field.
Continue reading the article: https://lnkd.in/gtnsUNvN
#DataScience #BigData #AI #Ethics #Cybersecurity #NLP #IoT #EdgeComputing #ContinuousLearning #UtahTechLabs
The presentation talks about "Data Science being the sexiest job of the 21st century". What are the challenges faced by the industry and how to Overcome them, is the main theme of the presentation
Who is a Data Scientist? | How to become a Data Scientist? | Data Science Cou...Edureka!
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Who is a Data Scientist" will help you understand what a data scientist does, their roles and responsibilities, and what the data science profile is all about. You will also get a glimpse of what kind of salary packages and career opportunities the data science domain offers.
Below topics are covered in this PPT:
Who is a Data Scientist?
What is Data Science?
Who can take up Data Science?
How to become a Data Scientist?
Data Scientist Skills
Data Scientist Roles & Responsibilities
Data Scientist Salary
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What does a data scientist actually do? Here at Good Rebels we wanted to outline a profile of this new profession, with the help of various industry leaders from academia, business and institutions. In short, we concluded that the main tasks of a data scientist are to identify data, transform it when incomplete, categorize it, prepare it for analysis, perform the analysis, visualize the results and communicate them.
The role of Organisational Network Analysis in People AnalyticsDavid Green
Copy of my slides from my presentation at UNLEASH in Las Vegas on 15 May 2018
People analytics is increasingly being used by analytically advanced companies to help drive productivity, performance, innovation and collaboration. Organisational Network Analysis (ONA) is at the fulcrum of much of these efforts and is a technique that many analytics and HR professionals want to learn more about. This presentation features research, case studies and guidance covering both active and passive data sources that will demystify ONA and demonstrate how in combination with people analytics it can help improve both business outcomes and employee experience.
Big data for the next generation of event companiesRaj Anand
Only on rare occasions do we consider the amount of data that our every action produces. It’s pretty overwhelming just to think about every interaction on every app on every device in our bag or pocket, in every environment and every location.
But then there’s more. We also use access cards, transportation passes and gym memberships. We have hobbies, we travel, buy groceries, books and maybe warm beverages on rainy days. We are part of multiple communities. Looking around billions of people are doing the same. Our every action produces data about us. This is big.
We believe taking an interest in this wealth of data will be the key to success for next generation Event Companies.
We are living in a fast changing world, where it’s ever more important to foresee trends and seize opportunities. A global perspective is not a strategic advantage anymore it is a necessity.
Event companies are facilitators , they create common grounds for brands and audiences, by thoughtfully connecting goals and means. Having a deep understanding of customer behaviour, group psychology, digital habits, brand interaction, communication, and awareness through unlocking the power of big data will ensure next generation event companies thrive on strategy.
What is big data ? | Big Data ApplicationsShilpaKrishna6
Big data is similar to ‘small data’ but bigger in size. It is a term that describes the large volume of data both structured and unstructured. Big data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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
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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