Troy Magennis, President, Focused Objective
Julia Wester, Improvement Coach, Leankit
Helping teams see and understand their process highlights areas that need improvement. This session shows how to make team data visible in ways that lead to improvement action and how to avoid the pitfalls and traps of managing by numbers. With examples of good and bad techniques for showing data and coaching teams, this session will help choose a path for helping teams develop an analytical angle to their technical skills.
Meetup 16 dec data driven process to optimizationAndra Baragan
In this presentation you will learn the basic steps into building your own Conversion Optimization program and the way you can use data to your advantage.
Meetup 16 dec data driven process to optimizationAndra Baragan
In this presentation you will learn the basic steps into building your own Conversion Optimization program and the way you can use data to your advantage.
Harvesting the value from Advanced AnalyticsJaap Vink
In general, Analytics help you leverage investments that you have done already in your IT investments, on ERP, on CRM systems, on sales
force automation systems, and on all
the data collection that you put in
place.
Unfortunately, reality isn’t that
straightforward. It’s still a struggle
for most companies to drive valuable
insight into the data they have.
This presentation is a part of my internship. It based on this article from HBR :
https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjAmYb4r-zYAhWFa7wKHcpYDFYQFggoMAA&url=https%3A%2F%2Fhbr.org%2F2012%2F08%2Fmarketers-flunk-the-big-data-test&usg=AOvVaw0OAHewRpJZ70CcCw9qlo4p
More Than A Feeling - How to Quantify Emotion in CXMattersight
Maxi Schmidt-Subramanian is a senior customer experience analyst at Forrester. At Call to Loyalty 2016, Maxi helps to transform the art Chip Bell and Diane Magers spoke about into a science. As a PhD and one of the leaders of Forrester’s Customer Experience Index, Maxi spends her time working with companies to quantify in dollars and cents the impact that positive and negative emotional experiences have on the customer relationship and the bottom line.
Growth Analytics and how to measure Growth and success. Why measuring is where the Lean Cycle breaks, what are good and bad metrics, applying the concept of the Northstar Metric and One Metric that Matters
Diving into the space of HR automation and understanding the role of Analytics and Bots in prioritizing and streamlining HR functions with efficiency to the uplift and upkeep the Business Profitability as a whole.
Harvesting the value from Advanced AnalyticsJaap Vink
In general, Analytics help you leverage investments that you have done already in your IT investments, on ERP, on CRM systems, on sales
force automation systems, and on all
the data collection that you put in
place.
Unfortunately, reality isn’t that
straightforward. It’s still a struggle
for most companies to drive valuable
insight into the data they have.
This presentation is a part of my internship. It based on this article from HBR :
https://www.google.co.in/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjAmYb4r-zYAhWFa7wKHcpYDFYQFggoMAA&url=https%3A%2F%2Fhbr.org%2F2012%2F08%2Fmarketers-flunk-the-big-data-test&usg=AOvVaw0OAHewRpJZ70CcCw9qlo4p
More Than A Feeling - How to Quantify Emotion in CXMattersight
Maxi Schmidt-Subramanian is a senior customer experience analyst at Forrester. At Call to Loyalty 2016, Maxi helps to transform the art Chip Bell and Diane Magers spoke about into a science. As a PhD and one of the leaders of Forrester’s Customer Experience Index, Maxi spends her time working with companies to quantify in dollars and cents the impact that positive and negative emotional experiences have on the customer relationship and the bottom line.
Growth Analytics and how to measure Growth and success. Why measuring is where the Lean Cycle breaks, what are good and bad metrics, applying the concept of the Northstar Metric and One Metric that Matters
Diving into the space of HR automation and understanding the role of Analytics and Bots in prioritizing and streamlining HR functions with efficiency to the uplift and upkeep the Business Profitability as a whole.
Data Analytics is the process of extracting meaning from raw data using computer software. This process transforms organizes and models data to extract meaningful conclusions and identify patterns.
VS Liv MSHQ 2022 - Measuring Up! How To Choose Agile Metrics - Dugan.pdfAngela Dugan
How many times have you been asked to deliver on metrics that did not make sense to you, that felt counterproductive to your or the team's effectiveness, or that were seemingly impossible to collect in a sane fashion? Oftentimes, I find that metrics being collected are ones that are easy to collect and report on but are not necessarily the ones that will help the team learn and improve.
When it comes to software delivery, lean and agile practices and methodologies have taken the lead. Metrics have lagged a bit and often rely on very waterfall-style milestones and phase-gates to determine a team's effectiveness. In the spirit of continuous improvement, this session will take a look at the measures we can and should collect from agile teams, why these metrics are relevant and interesting, and how we can use them to help our teams continuously improve.
Artificial Intelligence in Marketing with Jim SterneStukent Inc.
There's no escaping Artificial Intelligence. It's in the news, in the movies, and in the boardroom. It's time to learn how Artificial Intelligence can be put to use in the marketing department. As this new technology becomes more prevalent, you'll need to understand it, embrace it and make the most of it.
Workforce Insight And Change Making Comms V4 AaAladam
These slides provide an overview of how to do Workforce Planning & Analytics so leaders can make better, more informed decisions. Hope you like it!
Big Data = Big Headache? Using People Analytics to Fuel ROItalent.imperative
• Interpret trend information to understand the business case for Big Data in HR.
• Examine your fears and assumptions about Big Data.
• Learn from best practice case studies how to demonstrate HR’s contributions to ROI.
• Understand how to engage key stakeholders as part of your organization’s people analytics journey.
How to Remove Bias From Your Hiring ProcessAmanda Herbert
At most organizations, hiring quality candidates isn’t just limited to the recruiting team. Qualifying all parties involved in the hiring process is critical, as studies have shown that interviewer conduct is amongst the top-mentioned factors in candidate feedback surveys.
HR professionals are tasked with ensuring that interviewers are qualified in order to provide a professional hiring experience to avoid common biases that appear in the hiring process. This presentation will:
- Share proprietary wage gap data and personal experiences with pay inequality from Hired's "2018 State of Wage Inequality in the Workplace" report.
- Discuss tactics to streamline recruiting practices, avoid unconscious bias and eliminate the wage gap.
- Prepare your team with the knowledge and resources necessary to identify and hire top talent while remaining compliant.
How Atlassian transformed its candidate experience to out-care the competitio...LinkedIn Talent Solutions
Kristen Clemmer, Atlassian
Caitriona Staunton, Atlassian
Atlassian sweats the details to provide a delightful candidate experience filled with personal touches and surprises turning candidates into raving brand advocates. In this session, Atlassian's Global Recruiting Leads share ideas and examples around three areas:Create High Touch Experiences, Go Beyond the Individual and Embed your values everywhere.
3 questions to think about when you're planning your own candidate experience:
-Are you creating high touch experiences that make the candidate feel special?
-Does your candidate experience go beyond the individual to others impacted by a job decision?
-And what stages of your own candidate experience can be enhanced by embedding your company values?
Catch the best of Talent Connect: http://bit.ly/2e5ojNe
Using Models For Analytically-Driven Cultural TransformationDan Wellisch
Jason Cooper delivered a powerful presentation at our meetup: Chicago Technology For Value-Based Healthcare found here: https://www.meetup.com/Chicago-Technology-For-Value-Based-Healthcare-Meetup/ on March 20. 2018
MAMA London - Football's Competitive Advantage: From Talent, to Technology &...AppsFlyer
Rory Campbell, Head of Technical Analysis at West Ham United. CEO of C&N Sporting Risk talks about data and Analytics have been slow to penetrate football the way it has other sports. However, the high variance of the game and the lack of effective data strategies being utilized means there is a huge competitive advantage to be gained by using analytics properly in different sectors throughout the sport. Today, with the World Cup in full swing, Rory discusses how the role of analytics in football has changed, why more football clubs are being run like data-driven buesinesses, and how a new generation is enabling the next level of competitive gains to be made on and off the pitch.
Online Educa Berlin conference: Big Data in Education - theory and practiceMike Moore
Online Educa Berlin Conference Presentation
Big Data in Education - Theory and Practice
Presented December 6, 2013 by
Mike Moore, Sr. Advisory Consultant - Analytics
Desire2Learn, Inc.
Predictive Hiring: Find Candidates Who Will Succeed in Your OrganizationHuman Capital Media
The facts are clear: Most companies today need to do a better job selecting talent. Recent survey data collected by the Corporate Executive Board indicates that nearly a quarter of all new hires leave their companies within a year, and that hiring managers wish they never extended an offer to one of every five members of their team. And a recent Gallup survey found that 52 percent of American workers were “not engaged” with their work.
Can you afford to miss an opportunity to learn how best-in-class organizations are using new technologies to scientifically assess talent before hiring, resulting in lower turnover, higher job performance and greater employee engagement?
In this presentation, you will:
Learn about new solutions that predict candidate success.
Discover how best-in-class organizations are incorporating these new solutions into their hiring process.
See the bottom-line results realized by these best-in-class practitioners.
DOES SFO 2016 - Kaimar Karu - ITIL. You keep using that word. I don't think i...Gene Kim
Let’s get this straight. ITIL is not about implementing dozens of processes, or about establishing a CAB to review every change request, or about the never-ending story of creating a CMDB. The ITIL framework has been designed to help IT organizations to move from being a black box technology provider – often viewed as a disposable cost centre – to becoming a service provider, and a true partner for the rest of the business. We know – we own the framework.
Unless your customer can achieve their objectives with the technology you run, and can get assistance when needed, no-one cares whether your architecture is built on a monolith, uses microservices, or can brag about being serverless. Agile as a mind-set covers the whole value chain, but common practices are limited to development only. DevOps as a philosophy covers the whole value chain, but common practices are limited to the deployment-focused intersection of development and operations only. Understanding the organisation's strategy, developing the product strategy, and dealing with customer issues are expected to be taken care of by someone else, as if by magic. Because of this, DevOps faces a risk of becoming the largest local optimisation exercise ever undertaken for way too many organisations
In tens of thousands of companies around the world, ITIL has helped to develop an organizational capability that has provided them with a competitive advantage. More than three million people have been certified, and ten times as many trained over the years. Yet, we have all heard the horror stories, too. So what is it that separates a successful adoption of ITIL from an unsuccessful attempt at implementing the framework? What are the common problematic practices and anti-patterns we have seen in the wild, and what does the guidance in ITIL really say? How can you move from a broken approach to IT Service Management to one that delivers value. Can you still use ITIL in the DevOps world? Do you even need to? Or, perhaps, the questions is whether DevOps can survive (in the enterprise) without embracing the service mind-set.
DOES SFO 2016 - Daniel Perez - Doubling Down on ChatOps in the EnterpriseGene Kim
HPE's Research Development & Engineering team has been on a fast-tracked DevOps journey over the past couple of years.
During our DOES 2014 talk we shared our deployment of ElectricFlow as a highly available and centralized self-service solution that has enabled HPE developers to quickly onboard onto ElectricFlow for build/test/deployment pipelines in a repeatable and cost-effective way.
At DOES 2015 we expanded on our investments into a comprehensive monitoring, self-healing, and accelerated deployment strategy across all of our applications to further bridge our Dev and Ops gap with greater visibility into our environments and to accelerate our time-to-market with repeatable and fully automated deploys.
Join us this year as we continue in this journey with our biggest transformation yet: the proliferation of ChatOps within our organization. We will discuss the decisions that lead us to these investments, the key lessons we have learned, and share our various Hubot integrations and capabilities.
DOES SFO 2016 - Greg Maxey and Laurent Rochette - DSL at ScaleGene Kim
t last year’s DOES conference, we introduced the new Domain Specific Language (DSL) for Electric Flow and painted a vision for how it could revolutionize application release automation (ARA) for very large enterprise implementations.
We are pleased to share with you our experiences and learnings from such a large scale implementation in a financial services company that we’ve been working on this past year. This is a very large implementation—hundreds of ‘platforms’, each containing hundreds of application components each targeting hundreds of ‘device types’, that is, thousands of components distributed across tens of thousands of end points in data centers across the world.
Because of regulatory and quality concerns, complex multi-environment stage testing and promotion systems with clear separation of duties must be enforced. While Electric Flow provided the core functionality to achieve these goals, there was a considerable amount of customization required to support legacy applications, tools and processes. All of the custom work done by the Electric Cloud professional services teams was done in DSL, that is, source code first. Customizations are maintained in a source control system and applied to the various staging environments through automated script execution managed by Electric Flow. While the Electric Flow UI was not used to author content, it was used to verify implementation and provide a convenient ways for the client to monitor progress of their application delivery. The result was a highly maintainable and scalable implementation that could be customized and adjusted on a moment’s notice. Indeed, the project has been managed in a lean agile manner with three week sprints.
DOES SFO 2016 - Rich Jackson & Rosalind Radcliffe - The Mainframe DevOps Team...Gene Kim
This session will discuss the success story from Walmart on how they built a set of services on the mainframe to provide capabilities at a large scale for their distributed teams, as well as discuss the transformation required for mainframe teams to achieve this success.
DOES SFO 2016 - Greg Padak - Default to OpenGene Kim
Large enterprises have hierarchical organizations to define areas of responsibility and drive better accountability. Those structures often block cross-team interactions and knowledge sharing that slow innovation and agility. We will discuss strategies that use open platforms to drive meaningful development outcomes through collaboration and productivity across the enterprise.
DOES SFO 2016 - Michael Nygard - Tempo, Maneuverability, InitiativeGene Kim
Tempo. Most people are familiar with it in the musical sense. It’s the speed, cadence, rhythm that the music is played. It drives the music forward - and pulls it back. But there’s more to tempo than a musical beat. In war, like in business, tempo - the speed at which you can transition from one task to the next - is a critical component for victory.
No single person nor department owns tempo. Somebody can’t just shout, “I now control the tempo,” and take charge. If you operate at a faster tempo than your cycle time allows, then you’ll get thrashing. The rate of tempo emerges organically as companies move around that action loop of sensing, deciding and acting.
Tempo emerges from the convergence of architecture, infrastructure, organization, and mindset. All these things have to align to achieve tempo. None of them can be changed in isolation.
In this talk, we will look at different models for transforming an organization to high tempo and high performance. We'll see how that can get derailed and what to do about it.
DOES SFO 2016 - Alexa Alley - Value Stream MappingGene Kim
Value Stream Mapping can streamline development processes and workflows. This talk will cover how Hearst has done internal Value Stream Mapping workshops to improve team collaboration and release times.
In this talk, I will discuss Value Stream Mapping and how it has helped transform internal processes for businesses within Hearst to adopt a DevOps culture. I’ll walk through the successes and learning experiences we’ve gained by holding VSM sessions at different businesses, in varying verticals at Hearst. We will review real examples of workflows, release times, benefits to the contributors and business, and how the collaboration has helped teams. While there are great successes, I will also share where we saw room for improvement and how we continually make changes to bring the most value to our teams. The most important value is how these have helped to start building a DevOps mindset in a company of over 25,000 employees.
DOES SFO 2016 - Mark Imbriaco - Lessons From the Bleeding EdgeGene Kim
DevOps news is dominated by discussions about tools, and with good reason. It's not unusual for the amount of infrastructure-related code in a system to approach or even exceed the amount of code dedicated to the actual problem the system is solving, even in small systems. As our systems scale in size and complexity, we invest an ever increasing amount of resources into building solutions to help manage our our complex technical systems. And rightly so.
What's often overlooked, however, is the human component of our systems. All too often our approaches to tools, processes, and systems management attempt to remove humans rather than empower them.
I'll make the case that humans are not a source of entropy to be safeguarded against in our systems, but rather a fundamental source of resilience and even efficiency. We'll discuss ways that we can use this point of view to our advantage when constructing our systems to move faster without sacrificing safety. We'll look at things like tools and our interactions with them, team collaboration, and even organizational structure and policies.
We've had plenty of talks about building for web scale, cloud scale, and even planetary scale. Let's spend some time talking about designing for human scale.
DOES SFO 2016 - Topo Pal - DevOps at Capital OneGene Kim
In my previous years’ talks at DevOps Enterprise Summit, I spoke about starting and scaling of DevOps at Capital One; importance of Open Source, Open Technology and Innovations in DevOps.
This year, I will present Capital One’s journey of maturing in DevOps and Continuous Delivery. My presentation will cover our current areas of focus: Delivery Pipeline, Flow and Measurements. I will also share some of the problems we faced and what we did to solve them.
DOES SFO 2016 - Cornelia Davis - DevOps: Who Does What?Gene Kim
Within the IT organizational structures that have dominated the last several decades roles and responsibilities are fairly standardized. But with the dramatic changes that DevOps practices and supporting toolsets bring, many are left feeling a bit off balance - it’s no longer clear who is responsible for even things as “straight-forward” as development or operations.
In this talk I will take traditional roles that are distributed across fairly standard IT structures and sort them into a new organizational context. What is the role of the Enterprise Architect? Who does capacity planning and how? How can change management step out of the way all while still satisfying the requirements of safe deployments? How do agile teams interface with personnel responsible for maintaining legacy systems? I’ll leave the audience with a blueprint for a new organizational structure.
DOES SFO 2016 - Avan Mathur - Planning for Huge ScaleGene Kim
Installing one CI server or configuring a deployment pipeline for a specific application might be easy enough. However, as enterprises look to scale their DevOps adoption and optimize their software delivery practices across the organization (to support additional teams, product lines, application releases, processes and infrastructure) -- software delivery pipeline(s) need to scale to support enterprise workloads.
For some enterprises, this means having a pipeline that can withstand the velocity and throughput of thousands of product releases, supporting tens of thousands of developers and distributed teams, hundreds of thousands of infrastructure nodes, multitudes of inter-dependent application components, or millions of builds and test-cases.
This scale poses unique challenges and implications for your pipeline design. This talk covers best practices for analyzing and (re)designing your software delivery pipeline – regardless of your chosen tool-set or technologies. Obtain tips and tools for ensuring your pipelines and DevOps infrastructure have the right architecture and feature-set to support your software production as it scales, while also ensuring manageability, governance, security, and compliance.
Learn best practices for how to:
1) Plan for scale: how to project for the types of performance indicators/vectors you’d need to scale across.
2) How to design of your pipeline and supporting infrastructure and operations (such as data retention, artifact retrieval, monitoring, etc.).
3) Design your pipeline workflows and processes to allow reusability and standardization across the organization, while also enabling flexibility to support the needs of specific teams/apps.
4) Design your pipeline in a way that enables fast rollout- easy onboarding thousands of applications, across hundreds of teams
5) Incorporate security access controls, approval gates and compliance checks as part of your pipeline and have them standard across all releases
6) Ensure your architecture support HA, DR and business continuity.
As organizations invest in DevOps to release more frequently, there’s a need to treat the database tier as an integral part of your automated delivery pipeline – to build, test and deploy database changes just like any other part of your application.
However, databases (particularly RDBMS) are different from source code, and pose unique challenges to Continuous Delivery - especially in the context of deployments. Often, code changes require updating or migrating the database before the application can be deployed. A deployment method that works for installing a small database or a green-field application may not be suitable for industrial-scale databases. Updating the database can be more demanding than updating the app layer: database changes are more difficult to test, and rollbacks are harder. Furthermore, for organizations who strive to minimize service interruption to end users, database updates with no-downtime are a laborious operation.
Your DB stores the most mission-critical and sensitive data of your organization (transaction data, business data, user information, etc.). As you update your database, you’d want to ensure data integrity, ACID, data retention, and have a solid rollback strategy - in case things go wrong …
This talk covers strategies for database deployments and rollbacks:
• What are some patterns and best practices for reliably deploying databases as part of your CD pipeline?
• How do you safely rollback database code?
• How do you ensure data integrity?
• What are some best practices for handling advanced scenarios and backend processes, such as scheduled tasks, ETL routines, replication architecture, linked databases across distributed infrastructure, and more.
• How to handle legacy database, alongside more modern data management solutions?
DOES SFO 2016 - Marc Priolo - Are we there yet? Gene Kim
2 years ago at DOES14, I presented “Vision Versus Execution: Implementing Continuous Delivery”. I shared how we achieved a big Continuous Delivery win – increasing software test coverage and delivery velocity and efficiency.
Since then, we have been busy scaling DevOps, Continuous Delivery and Lean principles across teams and practices throughout Urban Science. This rollout included both a cultural aspect, as well as an implementation of a centralized, shared, self-service automation solution for our teams – enabling them to “opt-in” to an automated pipeline.
In this talk I will present anecdotes and learnings gathered through our experience over the past two years and discuss the challenges and the value of scaling DevOps across the organization.
DOES SFO 2016 - Steve Brodie - The Future of DevOps in the EnterpriseGene Kim
DevOps adoption is growing rapidly, especially in the enterprise. What started as a “keeping up with the unicorns” grassroots movement within more forward thinking companies, has matured to large, complex enterprises now often being on the forefront of DevOps innovation.
DOES SFO 2016 - Aimee Bechtle - Utilizing Distributed Dojos to Transform a Wo...Gene Kim
Aimee Bechtle of Capital One’s Card Technology Advanced Engineering team will share how they have utilized Distributed Dojos to transform to a workforce skilled in DevOpsSec, public cloud and automation. Their Distributed Dojo strategy was formed when they needed to quickly and efficiently meet the challenges of a large cloud migration but were limited by local resources. Reaching out to a prominent retail chain they learned how draw from their engineering talent to form short-term, highly focused delivery teams. These teams now work cohesively across multiple locations to solve the challenges introduced when migrating such a large-scale, complex infrastructure to the cloud. They will explain how within weeks several Dojo teams were formed and releasing automation that not only supported Card Technology’s DevOpsSec and cloud mission, but provided associates with new skills that could be proliferated throughout the company.
DOES SFO 2016 - Ray Krueger - Speed as a Prime DirectiveGene Kim
Speed as a Prime Directive
Ray Krueger, Vice President of Engineering, Hyatt Hotels Corporation
Hyatt is transforming into a technology company that delivers digital experiences in the Hospitality industry. We're applying Continuous Delivery in order to achieve our goals faster. In the process, we are simplifying and abstracting legacy environments and building a hospitality technology platform.
DOES SFO 2016 - Paula Thrasher & Kevin Stanley - Building Brilliant Teams Gene Kim
After an initial DevOps transformation as a company, we had to grapple with how to scale and grow the talent and workforce to build a NextGen DevOps-minded company of 18,000+ people. We have built a number of programs to expand awareness, encourage growth mindsets, and drive workforce development. We will share the different ways we are working to "Build Brilliant Teams" to drive our DevOps transformations.
DOES SFO 2016 - Kevina Finn-Braun & J. Paul Reed - Beyond the Retrospective: ...Gene Kim
At DOES15, we presented the work we'd done at Salesforce to take their SRE teams to the "blameless cloud." We worked with various roles in the SRE teams so they could start asking the right questions about failure, and through the postmortem and retrospective process, begin to make lasting changes in _how_ Salesforce worked with and remediated identified failures.
But DevOps espouses less siloed thinking and more shared responsibilities, so we found postmortems within the SRE organization weren't enough. As Salesforce was moving toward a model of "service ownership," teams along
the entire software delivery value stream needed to start to understand their roadblocks to remediation and what aspects of the complex system they worked in were impeding their ability to "own their service."
We'll discuss the second phase of our work in helping these operations _and product_ teams gain a deeper understanding of service ownership, and why
just "DevOps'ing it up" wasn't quite enough on its own to help. plus we'll introduce an expanded model from last year's talk that incorporates human factors and complexity theory. These additions helped prime the teams to more effectively grapple with the challenges facing them on the road to true service ownership.
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
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.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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/
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
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/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)
DOES15 - Troy Magennis and Julia Wester - Metrics and Modeling – Helping Teams See How to Improve
1. Julia Wester
Improvement Coach at LeanKit
@everydaykanban
www.leankit.com
Troy Magennis
Consultant at Focused Objective
@t_magennis
FocusedObjective.com
Metrics,
Modeling &
Coaching
Helping teams see how
to improve
2. Descriptive - statistics
• Prepares and analyzes historical data
• Answers “What happened?” and “Why?”
Prescriptive – big human brains
• Finds better ways to operate
• Focuses on objectives, balances constraints
• Answers “What outcomes do we want?”
Predictive – big data
• Predicts future probabilities & trends
• Answers “What could happen?”
Analytics
are
expensive
Invest
wisely
4. System Uptime
Avoid
vanity
metrics
Challenge
each metric
by asking
“So What?”
Customer Outage
Impact
Ability to quickly
respond to needs
(MTTR, etc.)
Business Value
Delivered
Customer
Satisfaction
# of Tickets
closed
Instead,
measure
Also measure
10. Better and with
company trend
Oops. Still good, but
trending adversely
Creeping up…
Coaching advice
Don’t
solely
focus
on data
points
Monitor
trends
11. Teams naturally sampled the
dots and discussed
improvements
11
Interaction
invites
exploration
Make it
beautiful
12. Trying to find groups of root
cause, but not there yet, so just
segmenting on text analysis
Interaction
invites
exploration
Go beyond
the surface
& explore
root causes
13. Top 5 Takeaways
Measure valuable outcomes, not individuals
Actively monitor a set of balanced metrics
Keep your metrics inventory small
Monitor trends and expose trade-offs
Provide beautiful interaction to engage big brains
14. Q&A
We would like help with understanding
What balance of metrics you use and
why?
What are your questions?
15. Thank you!
Julia Wester
Improvement Coach at LeanKit
Twitter: @everydaykanban
www.leankit.com
Troy Magennis
Consultant at Focused Objective
Twitter: @t_magennis
FocusedObjective.com
Editor's Notes
Breath
Look more at people (not notes and screen) seriously. Stop looking at me :)\
TROY’s slide
The value of coaching lies in defining, creating and interpreting prescriptive metrics and then translating those to action.
JULIA’s slide
King, not bishop
JULIA’s slide
Another bad metric is # of servers.
JULIA’s slide
JULIA’s slide
TROY’s slide
JULIA’s slide
coaching comes in when you want to change one without killing another.
Do It Fast: are we keeping page with the business?
Do It Right: are people happy with our work
Do It On Time: when we promise, do we deliver?
Keep Doing It: can we do the other three at the same time, consistently