Beet Analytics Technology provides state-of-the-art diagnostic and analytical tools to improve manufacturing operations facing complex assembly challenges. Their software and consulting services give engineers and specialists visibility into production data to reduce downtime and improve productivity. Cappius is a digital transformation company focusing on renovating businesses using technologies like big data analytics, IoT, mobile, and cloud. Their Enterprise Speech Analytics solution analyzes customer service call audio in real-time to provide insights into sentiment, moods, and trends to enhance customer experience. Hackolade is a visual modeling tool for MongoDB schemas that assists with database design and documentation. Happiest Minds enables digital transformation through technologies like big data analytics, IoT, mobility, cloud, security
Kan I spare penge og få hurtigere adgang til innovation og sikkerhed gennem en struktureret og løbende opdatering af jeres desktops? Hør, hvordan store virksomheder har ændret strategi omkring opdatering efter Windows 10. Nye muligheder for automatisk opdatering giver din virksomhed alle nyhederne løbende og leverer samtidig høj sikkerhed, innovation, usability og automatisk opdatering.
Kim Kaae, Technology Solutions
Professional
Education in Age of Digital Disruption @ OPSOARick Huijbregts
Keynote presentation for OPSOA (Ontario Public Supervisory Officers' Association) at its Annual Conference. Topic: the impact on Education in a world of digital disruption.
RENEW, RETHINK and REIMAGINE THE VISION FOR EDUCATION
Using Algorithmia to leverage AI and Machine Learning APIsRakuten Group, Inc.
We are entering a new era of software development. Companies are realizing that AI and machine learning are critical to success in business, both to save cost on repetitive tasks, and to enable to new features and products that would be impossible without machine intelligence. Algorithmia makes these tools available through web APIs that makes tools like computer vision and natural language processing available to companies everywhere. Kenny will talk about how sharing of intelligent APIs can improve your applications.
https://rakutentechnologyconference2016.sched.org/event/8aS5/using-algorithmia-to-leverage-ai-and-machine-learning-apis
Rakuten Technology Conference 2016
http://tech.rakuten.co.jp/
Kan I spare penge og få hurtigere adgang til innovation og sikkerhed gennem en struktureret og løbende opdatering af jeres desktops? Hør, hvordan store virksomheder har ændret strategi omkring opdatering efter Windows 10. Nye muligheder for automatisk opdatering giver din virksomhed alle nyhederne løbende og leverer samtidig høj sikkerhed, innovation, usability og automatisk opdatering.
Kim Kaae, Technology Solutions
Professional
Education in Age of Digital Disruption @ OPSOARick Huijbregts
Keynote presentation for OPSOA (Ontario Public Supervisory Officers' Association) at its Annual Conference. Topic: the impact on Education in a world of digital disruption.
RENEW, RETHINK and REIMAGINE THE VISION FOR EDUCATION
Using Algorithmia to leverage AI and Machine Learning APIsRakuten Group, Inc.
We are entering a new era of software development. Companies are realizing that AI and machine learning are critical to success in business, both to save cost on repetitive tasks, and to enable to new features and products that would be impossible without machine intelligence. Algorithmia makes these tools available through web APIs that makes tools like computer vision and natural language processing available to companies everywhere. Kenny will talk about how sharing of intelligent APIs can improve your applications.
https://rakutentechnologyconference2016.sched.org/event/8aS5/using-algorithmia-to-leverage-ai-and-machine-learning-apis
Rakuten Technology Conference 2016
http://tech.rakuten.co.jp/
- Software is eating the physical world
- The IoT that's real today is industrial IoT
- IoT is now accessible to the modern developer (JavaScript on Beaglebone, Tessel, etc)
- Mobile/IoT backends are readily available and we all live in a world of glue code for open building blocks
We have so many expectations towards 2021. India is consistently proving its talent on developing Its own digital environment in mobile app development after the Data breach of Chinese Apps. Mobile Application development company industry is continuously evolving and Staying up to date with the latest trend is arguably the most crucial aspect of success in this space. To stay competitive, exploring new opportunities and leverages the latest trends in technology.
Latest 2018 innovations in cloud computingPivIT Global
Cloud Computing is an Information Technology paradigm in which hosted services are delivered over the Internet in order to share resources and services such as Virtual Machines (VMs), Storage space, Applications and tools as a utility. All the recent innovations going in cloud computing, In this document, PivIT Global has explained about Trends in cloud computing.
How Decentralized AI can Dominate the Global AI EcosystemEficode
Ben Goertzel
CEO – SingularityNET, Chief Scientist – Hanson Robotics, the creator of the robot Sophia.
Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond.
apidays LIVE Singapore - Using data to track plastic waste and recovery globa...apidays
apidays LIVE Singapore 2021 - Digitisation, Connected Services and Embedded Finance
April 21 & 22, 2021
Using data to track plastic waste and recovery globally
Abhishek Kaul, Data Insights and A.I. Practice Leader at IBM
IBM Thorsten Schroeer @ ARC European Industry Forum 2021Thorsten Schroeer
I gave this presentation in May 2021 at the ARC Industry Forum. This digital event had 700 attendants and coverd topics incl. AI, Blockchain, Cloud, Ot/IT, Security and some more.
- Software is eating the physical world
- The IoT that's real today is industrial IoT
- IoT is now accessible to the modern developer (JavaScript on Beaglebone, Tessel, etc)
- Mobile/IoT backends are readily available and we all live in a world of glue code for open building blocks
We have so many expectations towards 2021. India is consistently proving its talent on developing Its own digital environment in mobile app development after the Data breach of Chinese Apps. Mobile Application development company industry is continuously evolving and Staying up to date with the latest trend is arguably the most crucial aspect of success in this space. To stay competitive, exploring new opportunities and leverages the latest trends in technology.
Latest 2018 innovations in cloud computingPivIT Global
Cloud Computing is an Information Technology paradigm in which hosted services are delivered over the Internet in order to share resources and services such as Virtual Machines (VMs), Storage space, Applications and tools as a utility. All the recent innovations going in cloud computing, In this document, PivIT Global has explained about Trends in cloud computing.
How Decentralized AI can Dominate the Global AI EcosystemEficode
Ben Goertzel
CEO – SingularityNET, Chief Scientist – Hanson Robotics, the creator of the robot Sophia.
Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond.
apidays LIVE Singapore - Using data to track plastic waste and recovery globa...apidays
apidays LIVE Singapore 2021 - Digitisation, Connected Services and Embedded Finance
April 21 & 22, 2021
Using data to track plastic waste and recovery globally
Abhishek Kaul, Data Insights and A.I. Practice Leader at IBM
IBM Thorsten Schroeer @ ARC European Industry Forum 2021Thorsten Schroeer
I gave this presentation in May 2021 at the ARC Industry Forum. This digital event had 700 attendants and coverd topics incl. AI, Blockchain, Cloud, Ot/IT, Security and some more.
MongoDB can be used simply as a log collector using for example a capped collection. Fotopedia has such a system which is used for quick introspection and realtime analysis.
Speech done the 23rd of March, 2011 at MongoFR days in Paris, la Cantine by Pierre Baillet and Mathieu Poumeyrol
View all the MongoDB World 2016 Poster Sessions slides in one place!
Table of Contents:
1: BigData DB Infrastructure for Modeling the Fly Brain
2: Taming the WiredTiger Cache
3: Sharding with MongoDB 3.2 Kick the tires and pop the hood!
4: Scaling Proactive Anomaly Detection
5: MongoTx: Transactions with Sharding and Queries
6: MongoDB: It’s Not Too Late To Shard
7: DLIFLC usage of MongoDB
Webinar: Working with Graph Data in MongoDBMongoDB
With the release of MongoDB 3.4, the number of applications that can take advantage of MongoDB has expanded. In this session we will look at using MongoDB for representing graphs and how graph relationships can be modeled in MongoDB.
We will also look at a new aggregation operation that we recently implemented for graph traversal and computing transitive closure. We will include an overview of the new operator and provide examples of how you can exploit this new feature in your MongoDB applications.
The activity of using methods, skills and tools to understand user engagement with a website is called a UX Audit.
Even in case this was done at the time of website development, it could not have included future traffic behaviour or change in design trends and optimisation techniques.
Per this article on Forbes, every dollar invested in improving UX has multifold returns. Good design is just good business.
Atlanta's BridgeCommunity commercialization program is in its 3rd year. Get an overview of how startups and corporations are working together to extend their capabilities.
This latest issue fea tures some exceptional Business intelligence service providers that strive to deliver the best BI solutions & truly empower your business
We are a leading web and mobile app development company focused on transforming business, nonprofits. We have a dedicated design team to shape your app. contact us today.
Top 20 Best Business Intelligence Tools | CIO Women MagazineCIOWomenMagazine
Here are the top 20 Business Intelligence Tools: 1. Micro Strategic Planning, 2. IBM Cognos Analytics (in a nutshell), 3. Tableau, 4. Oracle Business Intelligence Tools, 5. Board, etc.
How can AI & Automation make your business processes intelligentMindfields Global
Enterprises gain a deeper understanding of their processes as they progress further into their automation journey. Exploring the connection between AI, automation and understanding how these technologies help make your business processes intelligent is a necessary next step.
Top 10 SaaS Companies in San Diego, CaliforniaBitCot
San Diego has emerged as a major hub for software-as-a-service (SaaS) companies, leveraging the city’s talented tech workforce and startup culture. SaaS firms provide on-demand software solutions to businesses through cloud-based subscriptions rather than installed applications. These agile, scalable delivery models have fueled incredible growth for many San Diego SaaS companies addressing needs across diverse sectors. In this blog, we spotlight the top 10 flourishing SaaS companies headquartered in San Diego, California.
Connecting Salesforce.com & Office 365 using Microsoft Flow & PowerAppsJared Matfess
What do Salesforce.com & Office 365 have in common? A lot! And now leveraging technologies such as Microsoft PowerApps & Flow, you can build some very interesting business solutions. Learn how to extend your sales operations beyond CRM and empower Information Workers both at their desks and in the field!
This document brings together a set
of latest data points and publicly
available information relevant for
Digital Customer Experience
Industry. We are very excited to share
this content and believe that readers
will benefit from this periodic
publication immensely.
Insights Success has curated a list of “The 10 Most Innovative Cognitive Solution Providers, 2018,” who are excelling their provision of best-in-class cognitive solutions that incessantly advocate ingenuity in technological innovation and global services.
Albiorix Technology brings the top 10 digital transformation trends to watch out for in 2023 that you can adopt to improve your business performance.
For More Information: https://www.albiorixtech.com/blog/digital-transformation-trends/
"AI in product development revolutionizes the innovation landscape by optimizing design, streamlining project management, and enhancing quality assurance. From predictive insights to automated testing, AI transforms the product lifecycle, ensuring efficient processes, informed decision-making, and personalized user experiences. Despite challenges like data privacy concerns, embracing AI is essential for businesses seeking to stay competitive in the dynamic world of product development."
Wecode is a next generation technology company that acts as a virtual hub for its employees and clients. Our departments are equipped with technology solutions that are accessible, beneficial, organized, streamlined, and cost-saving. We believe in making lives smoother by providing, scalable, flexible, and operable support to the challenges of tomorrow. Our solutions speak of the same. https://wecode-inc.com/service/next-generation-technology.html
Similar to MongoDB World 2016 Giant Ideas Stage eBook (20)
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
During this talk we'll navigate through a customer's journey as they migrate an existing MongoDB deployment to MongoDB Atlas. While the migration itself can be as simple as a few clicks, the prep/post effort requires due diligence to ensure a smooth transfer. We'll cover these steps in detail and provide best practices. In addition, we’ll provide an overview of what to consider when migrating other cloud data stores, traditional databases and MongoDB imitations to MongoDB Atlas.
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch".
This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
MongoDB Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
Query performance should be the unsung hero of an application, but without proper configuration, can become a constant headache. When used properly, MongoDB provides extremely powerful querying capabilities. In this session, we'll discuss concepts like equality, sort, range, managing query predicates versus sequential predicates, and best practices to building multikey indexes.
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
aux Core Data, appréciée par des centaines de milliers de développeurs. Apprenez ce qui rend Realm spécial et comment il peut être utilisé pour créer de meilleures applications plus rapidement.
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $.
La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.
2. Beet Analytics Technology is committed to providing state of
the art diagnostic and analytical tools to accelerate problem
solving for operations facing complex assembly and automation
challenges. Beet’s software and consulting services provide
manufacturing engineers and automation specialists with the
expertise and technology to improve identifying and reduce
production downtime and to achieve significant productivity gains
during the assembly and automation process.
For more information, check out the website at www.beetllc.com
1. Beet Analytics Technology
Cappius is a Digital Business Transformation company
focusing on renovating enterprise business by leveraging Big
Data Analytics, Internet of Things (IoT), Mobile First and Cloud
technologies. With our innovative solutions like Customer
Analytics, Enterprise Speech Analytics, Fraud Detection &
SalesForecasting, we deliver practical insights to support data
analysis.
2. Cappius
Hackolade is a software built to visually model MongoDB
schemas, create the blueprint of applications, and facilitate the
dialog between analysts, architects, designers, developers, and
DBAs. The cross-platform desktop application (Windows, Mac,
or Linux) assists in the design and documentation of physical
models, leveraging the power of JSON and MongoDB, with a
particular focus on intuitive use and flexibility.
3. Hackolade
Happiest Minds enables Digital Transformation for enterprises
and technology providers by delivering seamless customer
experience, business efficiency and actionable insights
through an integrated set of disruptive technologies: big data
analytics, Internet of things, mobility, cloud, security, unified
communication, etc. Headquartered in Bangalore, India, Happiest
Minds has operation in the US, UK, Singapore, Australia and has
secured US $52.5 million Series-A funding.
4. Happiest Minds
Kineviz, Inc. is the leader in cutting-edge human interfaces for
data visualization that unite art and humanity with technology.
Kineviz creates immersive experiences that are personal,
intuitive, and engaging to the senses resulting in faster discovery,
understanding, and action.
For more information, check out the website at www.kineviz.com
7. Kineviz
Pivotal transforms how the world builds software. Pivotal
combines the Silicon Valley state of mind, modern approach,
and infrastructure with organizations’ core expertise and values.
We enable the leading companies in the world to innovate by
employing an approach focused on building—not buying—
software. Our methodology is about evolving, in both development
and innovation, and our culture is empowering. Our team uses
agile and lean approaches to teach nextgeneration developers
to create and build new solutions. We optimize for change so
enterprises can move at startup speeds and with greater business
agility.
10. Pivotal
Wipro Ltd. (NYSE:WIT) is a leading information technology,
consulting and business process services
company that delivers solutions to enable its clients do business
better. Wipro delivers winning business outcomes through its
deep industry experience and a 360 degree view of “Business
through Technology.”
For more information, please visit www.wipro.com
11. Wipro
Loopd, Inc. provides real intelligence to corporate event
marketers. With Loopd, marketers learn how people interact with
each other, with the company, and with the company’s products.
The Loopd relational analytics gathers real data so that marketers
can educate attendees effectively, optimize venue layouts, create
engaging communities, and define real ROI. Unlike stand alone
event apps, beacon systems or traditional lead retrieval systems,
Loopd combines the three essential components for a corporate
event marketer: a mobile app, a wearable system, and rich
analytics. Loopd is the industry’s only bi-directional solution
that enables the exchange of contact information and content
automatically for partners and attendees.
For more information, check out the website at www.loopd.com
8. Loopd
Meshfire is an social media collaboration tool to help you set up
your campaigns into missions, assign tasks to team members
and listen to your audience. Meshfire distills years of social media
expertise into a virtual team member who suggests tasks, tracks
changes and predicts trends to help you grow and engage your
community. Meshfire is a subscription online service that you can
use anywhere: desktop, iPad, or smart phone.
For more information, check out the website at www.meshfire.
com
9. Meshfire
hiQ is a cloud-based people analytics SaaS platform that helps
protect your most valuable asset, your people. Immediately
pinpoint who is at risk and where to invest. With hiQ, it’s easy to
use data science and machine learning on internal and external
data to drive higher impact people decisions, no matter how far
along you are in your People Analytics journey. The world’s top
brands rely on hiQ to understand the Employee Lifetime value and
reduce turnover and save millions of dollars in employee attrition.
For more information, check out the website at www.hiqlabs.com
5. hiQ
Infusion helps enterprises deploy digital solutions that transform
their business. We rapidly create quality and innovative products
and platforms through a blend of smart software engineering,
design and digital strategy.
6. Infusion
11. Presented to: MongoDB World (C) Beet LLC. All rights reserved.
Case Study – Deep Dive
Profit
$920,000/Day
46 More
/Day
$20,000
Before ENVISION
5 Years, Total 2500
Shifts
4 Months
After ENVISION
Today w/
ENVISION
Average Throughput
(Engine/Shift)
140 152 163
Target Throughput (Engine/Shift) 176 176 176
Average Equipment Efficiency 79% 86% 93%
ROI in ONE Day!
18. Confidential Information www.cappius.com
1. Customer experience: overview
2. Need for the Solution
3. Enterprise Speech Analytics Solution
4. Architecture
5. Features
6. Benefits
2
Agenda
19. Confidential Information www.cappius.com 3
Customer experience: overview
Business
Intelligence
CRM
Intelligence
Social Media
Intelligence
Market
Intelligence
Enhanced
Consumer
Experience
Transactional
Intelligence
Customer
Demographics
Market/Product
Trends, Recalls,
Feedback
Consumer
Sentiment
Customer Insights
With big data and analytics you
can combine all information to
extract insight in real-time and
create an actionable view of
each customer to craft an
exceptional
experience
§ Need to integrate multi-Intelligence data
§ Increasingly, more intelligence data is
unstructured in text formats, video and
audio.
Traditional
Approach
Enhanced
Approach
Service call
In store, in person
touch points
Moments
of truth
20. Confidential Information www.cappius.com 4
Why Speech Analysis?
In a Service Call center, the audio call data is archived for reference and not mined for customer
interactions and extract value from them. It is exhausting to hear the tapes, hence this source of rich
data is routinely ignored.
Often this data is never accessed, unless there is a special situation such as an escalation or a dispute.
Most information is hidden and should be mustered from the customer call data. Since, it is Audio,
many Enterprises give it the least preference.
The efficiencies will further improve
by knowing the trending call center
enquiries and deploying the right
person for answering the right
issue.
Customer service will enhance
tremendously by knowing the
moods of the customer and intensity
of conversation which will allows
taking necessary actions to provide
better service for the customer.
1 2
21. Confidential Information www.cappius.com
Archival Analysis
This Solution is applicable in cases such as :
1. identification of the trending inquiries
2. identifying common pain points and improve
understanding of a customer behavior.
These levers could pre-empt actions that will result
in preventing customer dissatisfaction and increase
customer delight; achieving a superior contact
center performance.
5
Enterprise Speech Analytics Solution
Synchronous Analysis
The process :
1. Capture the voice stream by applying various
text and audio processing techniques
2. Understand the sentiments as well as mood of
the conversation for a customer service call.
This is accomplished real-time and continuously
monitored and tracked; which allows the service
center the ability to provide superior customer
engagement, handle situations at the right time to
mitigate attrition and escalations.
22. Confidential Information www.cappius.com
Solution Architecture
Google
Web
Speech API
Transcript
Polarity
Trends Ticker
Mood
§ Voice data/ Analysis
§ Transcripted text/Summary
Beyond
Verbal API
Streaming
§ Data Collection
§ Data Processing
NLP § Sentiment
§ Mood
Real time
Call Signal
Archived
Audio
Apache Storm
Machine
Learning
Real- time
Mood
Transcripted Text
Analytics
Scoring
§ Service Rep Scoring
§ Outlier detection
§ Session benchmarking
§ Trending Topics
§ Floor Analysis
§ Problem Resolution Analysis
§ NPS – Net Promoter Score
§ Customer Traffic Analysis
Persist real-time data as well as
run predictive Analytics
Customer Sentiment tracking at pre-configured intervals (default 15 sec)
Knowledgebase
6
Core Engine
Visualization
Call Conversation
Voice
Expression
Audio Extract
from Video
23. Confidential Information www.cappius.com
Features
Interprets voice to text (on the fly or from the archives)
§ Accent aware speech to text conversion
§ Summary and Conclusions of Call sessions
Polarity Deciphering the Feelings and Meaning of a conversation
Mood Analysis Analyze mood of the customer in real-time
Knowledgebase
§ Two-way voice data (Customer and Support Executive)
§ Results of voice analysis (quantitative and qualitative)
§ Transcripted Text
§ Polarity, Sentiment, Word clout
§ Summary and conclusions data needed for Analytics
Service Rep Scoring
Evaluation Score how well executive handled with customer
§ Call Forwarding to most appropriate Staff
§ Help to Identified Most Efficient Employee to take up the calls
Effective Handling
§ Real-time suggestions for customer executive
§ Optimization of the responses in Real-time
§ Trending issues, best relevant answer
§ Audio sniffer with configurable “key“ words (used for escalations)
Transcription
7
26. Confidential Information www.cappius.com
§ Improve the customer experience
§ Improve service quality
§ Reduce operating expenses and save money
§ Revenue enhancement with up-sell and cross-sell
§ Reduce Customer Attrition
Benefits
10
57. hiQ Labs
The Global Standard for People Analytics
Founded 2013
San Francisco-based
B-round led by Vayner Capital
www.hiqlabs.com
58. What We Do
● Apply data science to Human Resource problems
● Example: Risk of Attrition
● Data sources: internal and external
59. Say What?
Once more, this time in tech-eze:
● Ingest data
○ Structured data through API’s
○ Unstructured data from public sources
○ Customer data
● Process Data
○ Mostly Python code, written by data scientists
■ It’s got a bit of R in it
● Deliver Data
○ Push data to web stack
60. Why We Chose MongoDB
We needed a platform that:
● Fit well into our R&D tool chain
○ Exploratory work in iPython & Jupyter
○ Data loosely structured; schema in flux
○ Answer: pymongo, mongoengine
● Could quickly scale up to production
○ MongoDB mature enough to trust
○ Missing piece: distributed processing
○ Answer: rolled our own -- MongoO
61. Why Reinvent The Wheel?
Existing wheels are complicated
● Apache Spark - native Java/Hadoop
○ Python: streaming module
○ MongoDB: mongo connector
○ Strict functional map/reduce paradigm
● Simple solution, native Mongo/Python
○ Didn’t exist
○ So we wrote one
62. Introducing MongoO
Simple Distributed MongoDB Mapper
● MongoDB
○ Works directly on collections
○ uses MongoDB to track and monitor jobs
● Python
○ import mongoo
○ pymongo and mongoengine (ORM)
● FOSS
○ Free & Open Source Software
○ Permissive license (no copyleft)
63. Simple Example
Fits on one slide!
import pymongo
from mongoo import mmap
db = pymongo.MongoClient().test
for i in range(10):
db.mongoo_in.save({'_id': i})
def func(source):
return {'_id': source['_id'] * 10}
ret = mmap(func, "mongoo_in", "mongoo_out")
64. Simple Example
Output:
for doc in ret.find():
print doc
{u'_id': 0}
{u'_id': 10}
{u'_id': 20}
{u'_id': 30}
{u'_id': 40}
{u'_id': 50}
{u'_id': 60}
{u'_id': 70}
{u'_id': 80}
{u'_id': 90}
67. Make it RealHave a Vision Make it Beautiful
IoT and Big Data
Building modern applications with
MongoDB and Azure in the real world
68. Introduction and Bios
Challenge, Solution, Value proposition
Underlying Technology Patterns
Architecture
Relevant MongoDB and Azure information
Stories From the Trenches
Today’s Agenda
69. Infusion Confidential – Not For Distribution
We rapidly create innovative
products and platforms through
a blend of smart software
engineering, design, and
digital strategy
Infusion helps
enterprises deploy
digital solutions that
transform their
business
600+ Employees
16+ Years
Innovation Center
Innovation Center
AtAGlance
Houston
Raleigh
NYC
Innovation Center
Toronto London
Wrocław
Kraków
70. Infusion Confidential – Not For Distribution
SolvingKeyChallenges
Business
Insights
Application
Modernization
Customer
Experience
Website
Development
and CMS
Mobile
Development
Cloud
Architecture
Digital
Installations
Data
Enablement
Enterprise
Platform
Development
Digital Strategy
& Design
Managed
Services
Emerging
Technologies
Digital
Talent Solutions
Our Services
Enterprise
Productivity
71. Infusion Confidential – Not For Distribution
TheNextWave
Data Sciences + IoT,
“The Internet of Things”
Virtual + Augmented Reality
Artificial Intelligence
+ Machine Learning
Emerging Technologies
73. Infusion Confidential – Not For Distribution
OurExpertise
Craig Talosi
Practice Lead,
Business Insights
Rob Ringham
Practice Lead,
Mobile Development
Jeremy Bibby
Practice Lead,
Devices
Peter Kuhtey
Practice Lead,
Web Development
David Christensen
Practice Lead,
Cloud Enablement
Enterprise/Data Architect, strategist,
integration expert, software
engineer/developer, MongoDB
consultant + solution architect.
Occasional easter egg placer.
Ryan Chase
Director of Technology and Strategy,
Infusion (UK)
74. Challenge/Solution
Challenge Solution
• IoT == many devices and lots of data
• I want to get good value out of this data
via analytics and application
modernization
• Agility
I will present one possible solution to this
problem. This is a reference architecture that
can be applied to these kind of challenges.
The technologies chosen for this instance of the
reference architecture include MongoDB, Azure,
Hadoop, PowerBI.
A few reasons I like this solution:
• Uses tech I’m familiar with
• Integration is pretty straightforward – allows
us to swap components in/out as needed.
75. Infusion Confidential – Not For Distribution
ValueProposition
Data Ingestion & Storage
• Ability to easily ingest data from
IoT devices, providing quick and
easy ways to store large amounts
and data and perform
transformations on that data as
needed.
App Modernization
• Ease of presenting
application optimized data
sets allows rapid and agile
creation of modern
applications.
Data Visualization
• Data can be visualized
via the BI tools that
you use today and/or
new BI tools.
76. Domain Driven Design
Model
Bounded Context
• the idea is actually pretty simple. lets
come up with a ubiquitous language to
described our domain (i.e., world), based
on the language of that domain.
• for example:
• that’s a chair.
• that’s an account.
• that’s a client.
• he has an address.
• etc.
• we use this language and domain model
as input for other design.
• ddd defines aggregate roots and
bounded contexts (which closely relates
to a micro service). these are the words
we use to define the boundaries in our
world/domain.
Overview
Micro Service
• a small application that represents
some logic, function, or behaviour.
• typically based on some model (I
prefer these to be domain models
- i.e. DDD based approach).
Hexagonal Architecture
• something you can wrap your
model in so you can put it inside
of any hosting environment
• might have a UI or a JMS/REST
endpoint
DOMAIN
DRIVEN
DESIGN
77. • Event Driven Architecture
11
Model
Bounded Context
Model
Bounded Context
Model
Bounded Context Bounded Context
BROKER FABRIC
Event Store
Pub Pub Pub PubSubSubSub
Model
Sub
EDA
Complex Event Processing
CEP
Pub Sub
CQRS
Overview
EVENT
DRIVEN
ARCHITECTURE
78. Events are True Immutable Data Points
EVENT DRIVEN
ARCHITECTURE
1
2
Immutable data is factual and is true based on point in time
(“forever true”).
12-09-1990
03-08-1998
06-07-2003
07-09-2008
08-09-
2011customerHasNewDependent(name..)EVENT
customerHasNewDependent(name..)EVENT
customerMarried(lastName..)EVENT
customerMoved(addr1, addr2 ..)EVENT
customerHasNewDependent(name..)EVENT
customerCreated(name, addr1 ..)EVENT
03-08-1998
79. So …
1
3
IoT DDD EDA “big data”≈ + +
(for the purposes of this discussion + proposed solution)
80. Infusion Confidential – Not For Distribution
High Level Architecture
• Two main kinds of data:
• events
• application data
• We use the event data to
enrich our application data.
• We use the data to quickly
build/enhance applications.
• We use PowerBI or
other analytics tools to
get additional insights
into our data.
81. Infusion Confidential – Not For Distribution
MongoDB Specifics
• Use MongoDB BI connector to connect PowerBI and other analytics/dashboards tools
• Use MongoDB Hadoop connector to connect MongoDB to big data clusters
(Hadoop/Spark).
82. Infusion Confidential – Not For Distribution
Azure + IoT Specifics
• Different devices need
different types of
gateways:
• Field gateways for
simple devices and/or
specific security
concerns.
• Protocol gateways for
more sophisticated
devices
• Event stores can be
done in Azure or in
MongoDB
• We prefer server side
discovery but this is not
a hard/fast rule.
83. MongoDB Deployment Options
1
7
Some quick thoughts – full details are beyond the scope of this
presentation.
Use Ops Manager to
deploy into cloud VMs
We recommend
MongoDB Enterprise
Edition for this
This may change in
the future
• Be careful with micro-
sharding in MongoDB 3.x –
you should use container
groups to avoid memory
issues.
• Third party SaaS providers
that use the community
edition (e.g. MongoLabs)
are not recommended for
this use case.
• There are rumours about
a new MongoDB
provided SaaS option
with an option to use
Enterprise Edition – that
will be awesome!
85. Stories From the Trenches
1
9
Some things we have learned from implementing this with our clients.
You can do your analytics and
aggregations in MongoDB or in
your big data ecosystem – decide
per use case, it’s not 1 size fits all
MongoDB - Hadoop
connector is a tool - you
need to decide how to use it
Empower data usage for
apps and analytics
• Time series data modelling is a bit
different in MongoDB vs HDFS.
• Realtime jobs are different
• Understand compute/memory
needs of MongoDB connectors
(Hadoop & BI)
• Give analysts dedicated reporting
clusters
• Create use case optimized data
views to accelerate application
development.
• Use the MongoDB BI connector to
hook up your existing dashboards
and visualization tools.
• MongoDB aggregation pipeline for
simple aggregations/rollups
• Send more complex analytics to
your Hadoop/Spark cluster
• Understand your compute/memory
needs.
• Shard your MongoDB cluster if you
need more memory.
96. Kineviz - Bringing Art to Technology
Kineviz has a team of engineers, artists and scientists. We are looking for partners
to develop this exciting new technology for real world problems
kineviz.com
weidong@kineviz.com
117. Elias Israel, CEO
eli@meshfire.com
Artificial Intelligence For Social Media
8 June 2016
Meshfire finds you the people, conversations and opportunities you’re
missing in the flood of Social Media.
120. Teams overwhelmed
The Ideal
✔ Brand voice consistency
✔ Effective community engagement
✔ Complete reporting
The Painful Reality
✗ Overworked
✗ Losing opportunities
✗ Reporting sporadically
The Community Manager “Army of One”
Managing 3-20 regional or national brands online
60% OF MAJOR BRANDS HAVE SOCIAL
MEDIA TEAMS OF ONLY 1 TO 3 PEOPLE.
124. WHAT KIND OF AI?
Expert
Systems
Fuzzy Logic
Knowledge
Management
Programming
Instructions
Neural Networks
Machine
Learning
Statistical
Analysis
Learning Examples
BOTH!
125. HOW WE DO IT
• Tracking over 15 million Twitter users
• Inserting and processing more than 35 million
tweets daily
• Over 120GB of total data
• Real-time analysis of Twitter user relationships
• Real-time analysis of tweets as they happen
126. Customer Quotes
“Until Meshfire came along, I spent more time catching up and responding
to missed messages. With Meshfire, I get instant notifications.”
– Karl Kovacs, Social Media PM, HP
“I caught a hashtag local arts orgs were using for a tweet-chat they forgot to
tell us about. […] I would not have caught it without Meshfire, for sure.”
– Amie Simon, Social Media Producer, EMP Museum
“Meshfire does the thinking for us. We're now joining the right
conversations, and there’s no time wasted managing social media.”
– Sharon Herzog, VP Marketing, Sex Wax
128. SCUF GAMING
• 1,006,826+ Twitter followers
• 200+ YouTube and
Pro-Affiliates
• 150+ Million Subscribers
• 10k+ new followers each week
“As we’ve grown Scuf Gaming, Smart Tools
become critical to our continued success.
Meshfire is extremely valuable for controlled
management and growth of our online
community.”
Duncan Ironmonger
CEO & Co-Founder of Scuf Gaming
129. Elias Israel, CEO
eli@meshfire.com
Artificial Intelligence For Social Media
8 June 2016
Meshfire finds you the people, conversations and opportunities you’re
missing in the flood of Social Media.
131. Transforming How the World Builds
Software
Ian Andrews
VP Products
@IanAndrewsDC
Mallika Iyer
Principal Software Architect
@cloudfoundryart
132. Implementing
—
New methodologies to
influence the software
development culture of Silicon
Valley’s most influential
Internet companies
Discovering
—
An agile, rapid iteration, test-
driven approach to software
development
Accelerating
—
The digital transformation of
the world’s largest companies
with a modern software
development methodology and
modern cloud platform
Rob Mee Paul Maritz
Scott Yara Bill Cook
Founded
Transforming
—
The world’s largest companies
into cloud native software
companies
135. 5
Operating
System
Cloud API
Container Orchestration
Google AWS Azure VMW Openstack
Multiple
Languages
Microservices
Support
Services
Marketplace
Spring CloudSpring Boot
DEVELOPMENT
Native
User
Provided Partner
App Deployment
& Management
Availability
Visibility &
Administration
CI/CD Tools,
ID, Security
Health,
Metrics,
Patching
Apps &
Platform
Dashboards
OPERATIONS
136. Everything to Deploy and Manage the App
6
4. Health
management
2. Metrics
3. Log
Aggregation
1. Roles and
Policy
5. Security
and
Isolation
7. Scaling
6. Blue-
Green
deployment
137. Services prepackaged for simple consumption
7
• Easy accessibility
through Marketplace
• Instant Provisioning and
full lifecycle managed
• Bind to apps through
easy to use interface
• Common access control
and audit trails across
services
MySQL
Session state
caching
GemFire
Single Sign-On
Jenkins
Enterprise
RabbitMQ
Config ServerService
Directory
Circuit Breaker
Redis
DataStax
Cassandra
AND MORE
Services Marketplace
139. > cf
marketplace
> cf
create-
service
> cf bind-
service
> cf
unbind-
service
> cf
delete-
service
CCDB
Servic
e
Broke
r
Service
Plans
(single
node,
single-
replica-set,
sharded,
etc...)
IaaS
Services APIRouter
Cloud
Controller
Fetch
Catalog
Provision
De-Provision
Create
Binding
Delete
Binding
On Demand
VM
Creation…
VM Deletion...
On-Demand Service Broker Workflow
140. MongoDB - On Demand Service as
a Pivotal Cloud FoundryTile
- Provision the IAAS resources during service
instance creation
- Everything packaged into a “tile” that runs on
Pivotal Cloud Foundry on any IAAS
144. 1
How to Monitor and Troubleshoot Modern Day Apps
with Sumo Logic
Lavanya Shastri, Product Manager, Sumo Logic
Sam Weaver, Product Manager, MongoDB