Support automation with chatbots | Erik Pfannmöller | Founder, Solvemate | DN18
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This document discusses lessons learned about developing chatbots for customer support. It covers the make vs buy decision and outlines 5 key lessons: 1) Not every organization qualifies for a chatbot solution. 2) Goals like reducing agent workload or growing revenue without hiring must be set. 3) ROI should be calculated based on setup costs, gains, and ongoing costs. 4) Integrations with other systems are important. 5) Solutions should go live quickly and iteratively to match user needs.
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A well oiled machine ensuring everyone is working in harmony ins zoom power u...
Onboarding developers and setting them up for success
Onboarding developers and setting them up for success
Mohinder Kohsla Design thinking A complimentary approach to agile
Mohinder Kohsla Design thinking A complimentary approach to agile
[Pascal & Thien Que] Why XP is important for us and why XP could be very impo...
[Pascal & Thien Que] Why XP is important for us and why XP could be very impo...
Master Technical Recruiting Workshop: How to Recruit Top Tech Talent
Master Technical Recruiting Workshop: How to Recruit Top Tech Talent
Similar to Support automation with chatbots | Erik Pfannmöller | Founder, Solvemate | DN18
Lscon16 414 Gaining Executive Buy-in For Your Learning Ecosystem
As a learning leader, you want to build a world class learning model. But the problem is you need executive support, funding, IT support, etc. A learning ecosystem that satisfies today’s learner requires changing the conversation with all the stakeholders.
In this session, you’ll use the learning model canvas to create the story for changing the mindset and mechanics of the corporate learning model. You’ll learn the top two learning organization patterns and the top five learning organization models. You will be able to identify your organization’s current model, identify the dependencies needed for implementing a new learning ecosystem, and actionable next steps for implementing it in the workplace. You will gain the skills to: select the most effective learning model for the organization, determine actionable steps to gain commitment and resources for a new learning ecosystem, and facilitate consultant-like discussions at the executive level.
Virtual selling 2020
The document provides an overview of virtual selling. It discusses the new skills required for working from home, such as using communication platforms and presenting proposals online. It also covers finding new sales opportunities, conducting sales dialogues, and signing deals online. The document then discusses challenges of the new normal like office organization lagging technology, customer reluctance to technology, and staff reluctance to change. It provides tips for virtual selling such as setting up a dedicated workspace, establishing a routine, dressing professionally, and creating a work-life balance. The document also discusses using technology like laptops, internet connection, cloud CRM systems, and communication tools for virtual selling.
Building Startups and Minimum Viable Products (NDC2013)
Ben Hall is a hacker in residence at Cornershop and founder of previous startups. He discusses his approach to starting new ventures, which focuses on rapidly validating ideas by building minimum viable products and releasing early to test assumptions and learn from customers and metrics. Some of his key advice includes failing fast when ideas don't work, focusing on acquisition metrics over features, and prioritizing speed of delivery over perfect code in the early stages. The presentation emphasizes learning through quick iteration and putting products in front of customers as soon as possible.
Office 365, Practical Adoption Strategies
Joanne Klein presented on adoption tactics for Office 365. She discussed identifying stakeholders and an adoption team. Preparing for, training users on, and supporting ongoing use of O365 were identified as key phases of adoption. Tactics included scenario-based training, tip campaigns, champions programs, and measuring adoption. Resources like the adoption center, public roadmap, and message center were recommended.
Office 365 Practical Adoption Strategies - SPSBelgium
Office 365 adoption is about looking for collaboration wins, changing behaviors and training options galore! Here's my presentation with some tips you can start using in your tenant today!
How to avoid 6 deadly mistakes when building a digital product 2018
This document provides tips for avoiding common mistakes when building digital products. It outlines 6 key areas to focus on: 1) Solve real problems, not hypothetical ones, 2) Sell the product concept before building it to validate market need, 3) Rely on user research like surveys and interviews rather than guessing, 4) Measure everything to understand user behavior and determine what works, 5) Get buy-in from enterprise users early on through focus groups and observations, 6) Think beyond just product and look at the larger business landscape. Following these tips can help mitigate risks and avoid wasting time and resources on products that do not solve real user needs.
Rapid Prototyping & Customer Development
These are the slides from a talk I gave at our local Refresh meetup. Learn more here: http://refreshthetriangle.org/posts/rapid_prototyping_and_customer_development/
MVP
- Radian6 started as a social media listening software company that provided analytics on brand sentiment, popular industry conversations, and discussions about customers.
- They began with a minimum viable product to understand social conversations companies were unaware of. This addressed an important problem for early customers like Dell monitoring issues discussed online.
- The MVP approach led to rapid growth, hiring 300 employees and hundreds of customers before being acquired by Salesforce.com for $400 million, demonstrating the success of starting small and learning quickly.
Adopting innovation
How can you adopt innovation at your company ? Why should you bother ? How can you do it ? What matters and why ?
Here I share my learning from starting and running a startup and building data science products in thomson reuters and other organizations
The Product Management Vacuum and the 3 V's
In between the larger organizational goals and the day-to-day work of Development Teams, exists a vacuum. The thing about any vacuum is that it has an innate need to be filled. If we are not careful, this 'Product Management Vacuum' will get filled with meaningless busy work and extensive task management. Being busy without clear direction.
This session introduces the 3 V's -- Vision, Value, Validation -- as a way to get out in front of this problem.
xAPI Live - Why do I need something new? Day Hikes in xAPI
This presentation by Megan Torrance, President of Torrance Learning highlights short activities that can be used to leverage xAPI without breaking the bank. Torrance Learning's xAPI Cohorts groups teams of interested users to create xAPI projects that are shared to provide a starting point and foster discussion about xAPI and it's use for Learning & Performance Support.
Be A Great Product Leader (Opower 2014)
This is the version of my talk, Be a Great Product Leader, given to the Opower team on January 28, 2014 in San Francisco.
2010 04 28 The Lean Startup webinar for the Lean Enterprise Institute
The document discusses myths and truths about Lean Startups. It dispels four common myths: that Lean means cheap, that it only applies to web/internet companies, that Lean Startups are small, and that they replace vision with data. It then provides an overview of Lean Startup principles like building a Minimum Viable Product, conducting rapid split tests, and achieving continuous deployment through small, frequent code releases.
2010 10 19 the lean startup workshop for i_gap ireland
The document discusses the Lean Startup methodology for building startups under conditions of extreme uncertainty. It advocates for an experimental, customer-focused approach where the minimum viable product is used to test hypotheses and gather customer feedback through rapid iteration. Key techniques include continuous deployment, rapid A/B testing, and using the five whys method to identify the root causes of problems. The goal is to minimize the time to validate learning about customers through frequent releases and measurement.
Faster Cheaper Better the Agile / Lean Way
Agile is not “the latest rage” or just a tech buzzword; Agile methodologies have been transforming organizations all over the world since the unveiling of The Agile Manifesto in 2001. Agile philosophies are helping companies of all sizes create and maintain a tremendous competitive edge in today’s intense global marketplace. Agile is the wave of right now and the wave of the future; helping successful companies eliminate waste and forge a clear path to continuous improvement.
Boostrapping a company to 1 million in revenue - Denver Startup Week Presentatio
Jeff Gladnick bootstrapped a Hybrid SaaS/Agency company, Great Dental Websites with no outside investment and grew annual revenue to $1MM/yr. He'll share the great decisions he made as well as the terrible ones, the software stack he used and the strategy to acquire the first 200 customers without spending a single dollar on marketing.
Intro to Lean Sales Training talk for Startups and Engineers
Creator of LeanSalesTraining.com and InwardInc.com, Walter Roth, gives a 90 minute presentation on building the dream sales team for startups and engineers. This is the presentation he references. The talk was powered by http://officience.com/ in Ho Chi Minh City.
Take 5 Modernization Workshop
nterested in modernizing your Notes applications but fresh out of silver bullets and magic buttons? If so, join us for an action-packed fun-filled workshop in which we will explore together some of the key ideas and processes needed for a successful modernization project at your company. We will be making use of Design Thinking throughout the workshop, starting with a conversation about the importance of establishing a modernization strategy. We will then look at how tools such as Application insights and TeamWorkr Analytics can be used to build a distinct strategy for each application. Next we look at options for reducing the cost of the modernization using tools such as aveedo, Darwino, Red Pill DIG, Sapho, SWING Seascape, TeamWorkr, and Webinizer. The workshop will conclude with an important discussion about the things every company should already be doing to prepare for a modernization project before we give away a number of great prizes to attendees.
Conducted at Engage 2018
Be A Great Product Leader (Square 2013)
1) The document provides lessons on being a great product leader from Adam Nash's experience in product management over 20 years. It discusses the importance of strategy, prioritization, and execution for product managers.
2) It emphasizes that product managers are judged based on whether their products succeed or "win games." They are responsible for results even if they have limited authority.
3) When identifying top priorities, product managers should put people directly on those goals and give them clear authority to execute, rather than having diffuse responsibility.
IoT Product Design and Prototyping
Rapid prototyping allows companies to tweak IoT solutions before fully developing products. It enables getting customer feedback to refine solutions and identify requirements. Rapid prototyping is low risk and high reward as it does not require expensive hardware or extensive commitments, but can lead to successful deployments through thorough planning.
Similar to Support automation with chatbots | Erik Pfannmöller | Founder, Solvemate | DN18 (20)
Lscon16 414 Gaining Executive Buy-in For Your Learning Ecosystem
Lscon16 414 Gaining Executive Buy-in For Your Learning Ecosystem
Building Startups and Minimum Viable Products (NDC2013)
Building Startups and Minimum Viable Products (NDC2013)
Office 365 Practical Adoption Strategies - SPSBelgium
Office 365 Practical Adoption Strategies - SPSBelgium
How to avoid 6 deadly mistakes when building a digital product 2018
How to avoid 6 deadly mistakes when building a digital product 2018
xAPI Live - Why do I need something new? Day Hikes in xAPI
xAPI Live - Why do I need something new? Day Hikes in xAPI
2010 04 28 The Lean Startup webinar for the Lean Enterprise Institute
2010 04 28 The Lean Startup webinar for the Lean Enterprise Institute
2010 10 19 the lean startup workshop for i_gap ireland
2010 10 19 the lean startup workshop for i_gap ireland
Boostrapping a company to 1 million in revenue - Denver Startup Week Presentatio
Boostrapping a company to 1 million in revenue - Denver Startup Week Presentatio
Intro to Lean Sales Training talk for Startups and Engineers
Intro to Lean Sales Training talk for Startups and Engineers
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The Data Janitor Returns | Daniel Molnar | DN18
This document provides perspectives from a data analytics engineer on various topics. It recommends taking a practical approach to machine learning and data science, focusing on fast and good enough solutions rather than overengineering. It also discusses worries about privacy with GDPR and concerns about companies' use of personal data and analytics for marketing purposes. Measurement and metrics are discussed, emphasizing simple and interpretable metrics over more complex approaches. Programming languages and tools mentioned include Python, SQL, Metabase, and Presto.
Technical debt in ML | Jaroslaw Szymczak | DN18
The document discusses various components of technical debt that can arise when developing machine learning systems. It describes how hidden feedback loops, undeclared consumers, data dependencies, inconsistent feature engineering, complex decision cascades, and improperly managed rule sets and thresholds can all contribute to technical debt. The document advocates approaches like breaking feedback loops, ensuring feature consistency, auditing decision logic, and calibrating models to help tackle technical debt in ML systems.
Accessing Online Text-based conversation | Jay Krall | DN2018
Social data has evolved over three eras from the Wild West period of 2000-2010 to the modern era from 2015 to present. The social data ecosystem has four layers - social platforms and publishers where data originates, data access platforms, social analytics products and research firms that communicate and interpret data, and brands and organizations that get business insights. Text analytics technologies are progressing to allow for open ended discovery, custom models, and expanded language and character coverage, but data access is also more tightly governed now.
Journey from Structured to Unstructured Data | Nischal HP | VP, Engineering a...
The document discusses the journey from structured to unstructured data in insurance documents. It describes how omni:us uses computer vision, natural language processing, and machine learning to extract key information from insurance documents that may have highly variable layouts and formats. The presentation outlines how omni:us handles structured, semi-structured, and unstructured data, highlighting techniques like template alignment and supervised learning that allow it to process different types of documents and scale.
Causal inference-for-profit | Dan McKinley | DN18
This document discusses causal inference and experimentation. It notes that doing causal inference and experiments correctly is tricky. It also notes that vendors who provide experimentation services may have their own motives that are not always aligned with customers. The document provides several theories for why running a large number of experiments may be an effective approach, despite small chances of any individual experiment finding an effect, and suggests starting with building expertise in a single cross-disciplinary team.
How to Lie with Data and Statistics? | Iveta Lohovska, Principal Data Scienti...
The document discusses how machine-generated data from sensors and IoT devices can be collected and processed to gain useful business insights. It notes that sensors don't always provide a full or accurate picture on their own and may require additional data sources and predictive analytics techniques like time series analysis and pattern recognition to extract meaningful signals. The document also cautions that sensors can sometimes provide misleading data and don't always directly measure the quantity of interest, so careful data processing is required to clean, interpolate, and correlate sensor readings with other data to obtain insights.
Data Science in Clinical Care | Johannes Starlinger, Charité | DN18
The document discusses key requirements for clinical natural language processing in German, including the need for multi-disciplinary clinical corpora, tools for automatic de-identification of protected health information, gold standard annotations integrated into clinical workflows, and methods for assessing privacy constraints on data sharing and processing. It notes current limitations include a lack of widely available clinical language resources and tools for German.
Building a Data Science Consultancy | Bart Smeets | DN18
This document discusses building a data science consultancy, including tales from the founder's experience. It provides advice on finding a niche, challenges to overcome like recruiting and sales, and maintaining quality while growing the business. The document also touches on services, skills, identity, and evaluating progress.
Building Sustainable Machine Learning Products for Communities, by Communit...
“Any real-world problem could be best solved if a group of
people comes together to put in their dedicated efforts. When
it comes to the collective efforts of dedicated individuals,
Success is bound to occur!”
BIG DATA is DEAD | Marc Weimer-Hablitzel, Etventure | DN18
The document argues that "Big Data is Dead" and provides evidence for this claim. It outlines three signs that Big Data is failing: (1) most Big Data projects fail due to issues with data quality, lack of data, and lack of talent; (2) the focus should be on use cases and business impact rather than technology; (3) iterative testing and a customer-centric approach are more important than just collecting and storing large amounts of data. The key is to start small, test early, and iterate fast based on customer needs rather than what data is available. Impact should come before collecting large datasets.
Undermining democracy | Alisa Kolesnikova | DN18
This document discusses how neural networks are changing global politics and discusses examples like Cambridge Analytica's use of data to influence elections. It notes that neural networks can synthesize video, audio, and text which could undermine democracy if used to spread misinformation. The document calls for new communication channels and wise use of neural networks and data.
Rent, Rain, and Regulations | Du Phan, Dataiku | DN18
This document summarizes an analysis of crime data from Portland, OR using various machine learning techniques. Key steps included engineering spatial and temporal features from open data sources, dimensionality reduction using PCA, and combining data using geohashing. A random forest model achieved an R2 of 0.93 on crime prediction, with poverty levels, commercial activity, and transportation factors being most important predictors. The final model was able to predict crime rates for a future 6-week period with high accuracy.
Linked data in an era of data surrealism Hans Constandt | CEO & FOUNDER
This document discusses challenges with data ingestion and curation. It notes that organizations currently operate in an era of "data surrealism" with disconnected data silos. The promise of data lakes is presented, but these often become "data swamps" with issues of scalability, data quality, and usability. The document promotes the solution of Linked Data and semantic technologies to solve these problems at scale during data ingestion through techniques like massive linking and inferencing. User friendliness of the data integration process and transparency/auditability are emphasized.
Living in an Era of Data Surrealism | Hans Constandt | CEO & FOUNDER
This document discusses challenges with data integration and analysis. It notes that data is often stored across different systems like CRM, data warehouses and data marts. This leads to data swamps that are difficult to analyze. The document proposes that a semantic web approach using a data lake can help solve problems by linking and inferring relationships across massive amounts of data during ingestion. It emphasizes the need for user-friendly tools that provide transparency, data quality controls and scalability.
Are You Ready for the Quickening!
This document discusses the evolution from Homo Sapiens to "Data Natives" and how data science is impacting various areas of life and culture. It promotes the idea that data science can enable prevention, recommendations, collaboration, education, and innovation. The document also raises the ethical dilemmas of data science and provides contact information for the founder of Data Natives.
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一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
毕业原版【微信:176555708】【(UMN毕业证书)明尼苏达大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
State of Artificial intelligence Report 2023
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
毕业原版【微信:41543339】【(Coventry毕业证书)考文垂大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
DSSML24_tspann_CodelessGenerativeAIPipelines
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
毕业原版【微信:41543339】【(Glasgow毕业证书)格拉斯哥大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Global Situational Awareness of A.I. and where its headed
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
毕业原版【微信:176555708】【(UCSB毕业证书)圣芭芭拉分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
毕业原版【微信:41543339】【(Chester毕业证书)切斯特大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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Support automation with chatbots | Erik Pfannmöller | Founder, Solvemate | DN18
- 1. Support automation with chatbots - make or buy dilemma and lessons learned
- 2. Erik Pfannmöller | Founder Serial Entrepreneur Canoe World Champion Father of three Math nerd Love keyboard shortcuts e.pfannmoeller@solvemate.com +49-151-234-32-054
- 3. Agenda 1. Make or Buy / 5 Lessons Learned 2. Structured answers / Solvemate
- 4. Agenda 1. Make or Buy / 5 Lessons Learned 2. Structured answers / Solvemate
- 5. We now live in an instant economy.
- 6. Whenever Wherever Instantly Time is the new gold.
- 7. The solution is possible. Machine Learning Instant messaging Instant support + =
- 10. SaaS vs. build inhouse? Go live time Go live todos Go live investment Ongoing costs Self service rate ROI 12 months 1-2 months 5 workdays 6 lines of code Hire Team, Design, MVP, Integrations.. negligible> 100K Min. 2 FTE software fee ??? > 80% > 2 years (if at all) < 6 months Build inhouse SaaS (Solvemate)
- 11. Core question to answer Is building bot building my company’s core competence?
- 12. 5 Lessons Learned on Support Oriented Chatbots
- 13. Lesson 1: Not every org qualifies
- 14. ★ High volume, inbound support per team Lesson 1: Not every org qualifies
- 15. ★ High volume, inbound support per team ★ Repetitivity Lesson 1: Not every org qualifies
- 16. ★ High volume, inbound support per team ★ Repetitivity ★ Solve the “need-agent cases” Lesson 1: Not every org qualifies
- 17. Lesson 2: Set goals
- 18. Lesson 2: Set goals I want
- 19. Lesson 2: Set goals I want… ...to offer a 24/7 support experience ...to reduce my contact ratio by 15% in 6 months ...to grow 50% revenue without hiring
- 20. Lesson 3: Calculate ROI
- 21. Lesson 3: Calculate ROI Initial setup costs + Gains from live phase - Costs from live phase = ROI
- 22. Patrick Waldhauer Director Operations @ eGym “We have 30% less cases in Salesforce than last year, while we have 40% more users.”
- 23. ROI Calculator for you http://medium.com/@epfannmoeller
- 24. Lesson 4: Integration is key
- 25. Lesson 4: Integration is key Not covered today
- 26. Lesson 4: Integration is key Not covered today
- 27. Lesson 4: Integration is key Not covered today
- 28. Lesson 5: Go live fast & iterate
- 29. Lesson 5: Go live fast & iterate You think what requests will come.
- 30. Lesson 5: Go live fast & iterate The reality.You think what requests will come.
- 31. Lesson 5: Go live fast & iterate Train a few solutions / intents only See what users truly want Incrementally add these solutions
- 32. Summary: 5 Lessons learned ★ Not every org qualifies ★ Set goals ★ Calculate ROI ★ Integration is key ★ Go live fast & iterate
- 33. Agenda 1. Make or Buy / 5 Lessons Learned 2. Structured answers / Solvemate
- 34. About Solvemate Located in Berlin, founded in 2015 Unique algorithm Solution handling 100.000+ request p.m. Customers on 3 continents
- 35. Solvemate enables endcustomers to get instant, self-service support through your own virtual agent.
- 36. Results. Huge resolution rate* > 80% Fastest resolution time ~12 seconds *on average, 13% of users that receive an answer opt for a handover to a human agent.
- 37. It started with a phone call...
- 38. Our virtual agents narrows down the number of possible solutions by asking smart multiple-choice questions.
- 39. +80% of customer support is like… ...finding the 1 out of 100 ”standard answers”
- 40. Lets play a game: Guessing a person
- 41. Sparkasse - “can’t log in”
- 42. Real-time predictions ● Smart multiple-choice questions narrow down the possible solutions ● Algorithm predicts the next best question in real time ● Solution provided and next steps proposed
- 43. Consumer Solves requests Frontend Algorithm Backend Algorithm CS Organisation Trains & configures
- 44. Get in touch. C O N T A C T Erik Pfannmöller Founder / CEO +49-151-234-32-054 e.pfannmoeller@solvemate.com
Editor's Notes
- https://www.superoffice.com/blog/customer-service-benchmark-report/