Accelerating scale from startups to enterprise by Peter bakas

•Download as PPTX, PDF•

0 likes•333 views

This document discusses accelerating scale from startups to enterprise. It covers three main topics: culture, product, and technology. For culture, it emphasizes freedom and responsibility, being data-driven, and focusing on attitude, aptitude, and abilities. For product, it stresses the need to continuously change and innovate to provide new value. And for technology, it notes how technologies are moving to auto scaling, self-service, and being self-healing in a time-based economy. The document also shares examples and lessons learned from DataStax's experience processing over a billion events per day.

Technology

Accelerating Scale
From Startups to Enterprise
Peter Bakas
DataStax

Hello!I am Peter Bakas
VP, Cloud Platform Engineering
DataStax Managed Cloud
@peter_bakas
2017

DataStax
Data Management for Cloud Applications
2017

DataStax Announces its Acquisition
of DataSCALe on November 15,
2016
Datascale is a provider of cloud-based Management for Data Infrastructure
2017

2.
Product
1.
Culture
3.
Technology
2017

“It may well be the
most important
document to ever
come out of Silicon
Valley”
-Sheryl Sandberg, Facebook
COO
2017

× Team
× Communication
× Data Driven
2017

× Attitude, Aptitude, Abilities
× High Performance
× The Reasonable Person Principle
2017

× Open, direct, honest
× Listen instead of reacting
× More context, less control
2017

× Move from assumptions
× Use data, don’t watch data
× Provide better context
2017

“We didn’t do anything
wrong, but somehow
we lost...”
-Stephen Elop, Nokia CEO
2017

If you don’t Change,
you will be eliminated
from the competition
2017

2017
× We have always done it this way
× We are different
× We can do it better

2017
× Auto Scaling
× Self Service
× Self Healing

2017
× Too many projects
× Need to migrate
× Moved on
× What took so long?

2017
× Central Teams
× SaaS Providers
× Cloud Providers

1,000,000,000,00
0Events/Day
99.999%Events Delivered/Day
12,500,000,000Events/Sec (Peak)
2017

1.4PB/Day
(35GB/Sec Peak)
Whoa! That’s a big number.
2017
Total Volume of Events Processed
EveryDay

A true Story!
2017
Keystone went Live 10/27/2015

Place your screenshot here
80% “Loss”
over next 6
hours
2017

“We don’t celebrate
failure in Silicon valley.
We celebrate
learning.”
-Reid Hoffman, Linkedin
2017

× There are times when things go wrong and
there is no turning back
× Reduce Complexity
× Minimize blast radius
× Find a way to start over fresh
2017

Place your screenshot here
STSI
Short Term Stand in
2017

Place your screenshot here
Failover
Time is of the Essence - Failover in less than 5 mins
2017

× Full Automation
× Self Healing
× Expect and Exercise Failure
2017

THAN
KS!You can find me at @peter_bakas
2017

Veel bedrijven doen het al, informatie verzamelen over de tevredenheid van klanten om dit vervolgens trots te delen met potentiele klanten en concurrenten. Heijmans en Centric zijn als eerste een outsourcing overeenkomst aangegaan waarbij de ouderwetse SLA overboord is gegooid en enkel wordt gestuurd op tevredenheid. Outsourcing contractueel op basis van 90% tevreden gebruiken in plaats van 90% uptime van systemen. Om dit inzichtelijk te maken en de juiste sturing te kunnen geven zijn enkel de resultaten van enquêtes niet voldoende. Traditionele rapportages van SCOM, SCCM, AD, PRTG, Topdesk Servicenow, etc. geven niet de benodigde inzichten en je bent al snel zoekende in een overvloed aan data verspreid over verschillende bronnen. Door koppelen van data krijg je inzicht in de processen en kun je deze verbeteren voor het bereiken van een hogere klanttevredenheid. Sebastiaan Boonstoppel en Marc Lelijveld vertellen en laten zien hoe organisaties dit kunnen realiseren.

PublicationsIan Seaton

Abn amro clearing - How Tableau enabled ABN AMRO to visualize Big Data effici...

BigDataExpo

2018 GIS in the Rockies Vendor Showcase (Wed): GIS Ascends to New Heights wit...

GIS in the Rockies

Cityworks is the original and leading GIS-centric software solution for permitting and public asset management. Combined with Esri’s ArcGIS technology, Cityworks provides users with a platform to manage, track, and analyze their public infrastructure assets. By harnessing the visual data representation and powerful analytical capabilities of GIS, Cityworks efficiently manages daily operations, such as service requests, work orders, inspections, permits, and code enforcement cases to keep your organization running smoothly. Cityworks is used by local government agencies, utilities and special districts, facilities, airports, marinas, urban forests, and more. Join us for a look at how Cityworks can help you leverage the power of your GIS to build a safer, more sustainable, and resilient community.

Extreme Excel: How a 35-Year-Old Desktop App Smashed Through the Big Data Bar...

SamanthaBerlant

People have been using Excel for 35 years. There are over 750 million Excel users. People are making magic with Excel every day. With the surging interest in big data, advanced analytics, and the cloud, how does Excel stay relevant and how extreme can Excel get? In this presentation, we will examine: o Traditional limits of Excel performance, scale, dataset sizes o Cloud technologies that make Excel better o Defining the new extremes for Excel power users Speaker Bio: Rachel Beddor is a Solutions Engineer for Kyligence where she creates technical content to enhance the learning experience for new Apache Kylin and Kyligence users. She has dedicated her career to making technology more accessible, fun, and inviting to people of all backgrounds.

Alliander robin hagemans daniel peyron

BigDataExpo

David Waxman Keynote

Data Con LA

A talk from the Enterprise Track at AWE USA 2019 - the World's #1 XR Conference & Expo in Santa Clara, California May 29-31, 2019. Suzanne Borders (BadVR): Using XR to Discover the Future of Data This session will explore the great potential of XR to transform the way companies view, analyze, and explore their data. Suzanne Borders will demonstrate how immersion adds value as an interface to large, complex, multi-variate datasets. She will discuss how companies can begin utilizing the technology to increase the accuracy of the insights discovered within their data, while simultaneously making the process of discovery faster. The discussion will tie in to Suzanne's discoveries and insights gained while developing and deploying XR data analytic solutions with BadVR. https://awexr.com

Visualization: For Business

Diwas Kandel

Andreas weigend

BigDataExpo

Human Sensor Conference Opening- Future of Real Estate Tech

Kevin Kononenko

Business Insight 2014 - Data insights flyerMicrosoft

Big Data Blackout: Are Utilities Powering Up Their Data Analytics?

Den Reymer

Trend briefing Peperclip

Tom Haak

Presentation on qlik view and application on bd

Md. Sohag Miah

Microsoft jeroen ter heerdt

BigDataExpo

Session On Cloud Computing At Kings College

genesesoftware

I gave a presentation on Cloud Computing to prospective entrepreneurs at Kings College, Kathmandu affiliated to University of Westcliff,California ,where I introduced them to AWS and its basic services like EC2, S3, RDS and how it has been making thousands of tech enterpreneurs life easy. Likewise, I talked to them about various global startup giants and how these entrepreneurs can follow their success story to roll out their businesses and ended the session talking about the AWS Activate program and the application criteria to be eligible for the program.

Crossing the river with confidence; how Oracle Cloud Applications can transfo...

Fujitsu Middle East

There’s a whole host of conversations about digital transformation out there. But what have WE done at Fujitsu, to transform our business, and achieve agility, efficiency and higher productivity? Have we worked hard to find out what our employees need? Is our roadmap clear and focused on making life better for both Fujitsu people and our customers? We have recently gone live with our implementation of Oracle Cloud Applications (OCA) for our HR function across EMEIA, so we know where the obstacles and challenges are. This session will present how we managed our Oracle HCM implementation over a nine month period, and share our experiences and insight to help you achieve digital transformation too. Ian Price, Oracle Propositions Manager, Fujitsu EMEIA Riham Dewidar, Head of Human Resources, Fujitsu Middle East, Turkey and India

Leadership in the Big Data era

Mick Yates

A presentation given at TEN (The Executive Network) in London on November 6th, 2013. There is so much talk about Big Data, yet little practical advice to help organizations deal with it. 90% of all data ever created by the human race was created in the past two years alone – and the rate is accelerating. The real revolution, though, is that only the individual will be able to access all of his or her own data – companies must come to terms with this loss of control. What is Big Data is, and how does it impact all businesses, their people and their organizations? What strategies can you employ to deal with this data revolution? And, how can you lead change in your organization, to embrace Big Data’s impact in all of your activities?

Big data expo - machine learning in the elastic stack

BigDataExpo

The potential and problems of artificial intelligence

Leigh Hill

Artificial Intelligence (AI) is emerging as a key technology for financial services firms, with applications ranging from algorithmic stock trading and credit card fraud detection to sanctions monitoring and trade settlement. The benefits of AI technologies can include automation, reduced manual intervention, improved efficiency and cost saving, but there are caveats and concerns for legal, risk and compliance officers. From a data management perspective, challenges include integration, data validation and ongoing maintenance. The webinar will consider the potential and problems of AI, and discuss issues of risk and reward, and the impact of AI on the workforce raised in a recent Thomson Reuters white paper, The Emerging Role of Artificial Intelligence in Financial Services. Register for the webinar to find out about: -The potential of AI -Existing applications -Challenges of implementation -Impact on the workforce -Future developments

Helping Business Leaders Get Over Their Learning Curve in Advanced Analytics

IDEAS - Int'l Data Engineering and Science Association

Value Drivers for Your Data – Big, Fast, or Smart

IDEAS - Int'l Data Engineering and Science Association

Big Data LDN 2017: Billions of Rows, the 5ws and H of Interpreting Fast and F...

Matt Stubbs

May 2013 Federal Cloud Computing Summit Welcome by Dr. David McClure

Tim Harvey

Dcg first chair presentation 08.30.17

DENNIS GARCIA ☁

Dcg ai legal lexis final final presentation 11.01.17

DENNIS GARCIA ☁

Startup & VC Tech Trends

Dave McClure

SaaS startups - Software Engineering Challenges

Malinda Kapuruge

Software-as-a-Service has become a very popular software delivery method due to its inherent advantages to both the service provider and the consumer. Startups are emerging businesses that usually provide innovative products to win a market share. In the recent past there are many Information Technology startups adopt SaaS as a way to quickly deliver their products to customers. This talk is discusses the software engineering challenges in a SaaS startup environment, so that software practitioners those who do not have experience in such an environment can foresee what to be expected.

What's hot

Suzanne Borders (BadVR): Using XR to Discover the Future of Data

AugmentedWorldExpo

Visualization: For Business

Diwas Kandel

Andreas weigend

BigDataExpo

Human Sensor Conference Opening- Future of Real Estate Tech

Kevin Kononenko

Business Insight 2014 - Data insights flyerMicrosoft

Big Data Blackout: Are Utilities Powering Up Their Data Analytics?

Den Reymer

Trend briefing Peperclip

Tom Haak

Presentation on qlik view and application on bd

Md. Sohag Miah

Microsoft jeroen ter heerdt

BigDataExpo

Session On Cloud Computing At Kings College

genesesoftware

Crossing the river with confidence; how Oracle Cloud Applications can transfo...

Fujitsu Middle East

Leadership in the Big Data era

Mick Yates

Big data expo - machine learning in the elastic stack

BigDataExpo

The potential and problems of artificial intelligence

Leigh Hill

Helping Business Leaders Get Over Their Learning Curve in Advanced Analytics

IDEAS - Int'l Data Engineering and Science Association

Value Drivers for Your Data – Big, Fast, or Smart

IDEAS - Int'l Data Engineering and Science Association

Big Data LDN 2017: Billions of Rows, the 5ws and H of Interpreting Fast and F...

Matt Stubbs

May 2013 Federal Cloud Computing Summit Welcome by Dr. David McClure

Tim Harvey

Dcg first chair presentation 08.30.17

DENNIS GARCIA ☁

Dcg ai legal lexis final final presentation 11.01.17

DENNIS GARCIA ☁

What's hot (20)

Suzanne Borders (BadVR): Using XR to Discover the Future of Data

Visualization: For Business

Andreas weigend

Human Sensor Conference Opening- Future of Real Estate Tech

Business Insight 2014 - Data insights flyer

Big Data Blackout: Are Utilities Powering Up Their Data Analytics?

Trend briefing Peperclip

Presentation on qlik view and application on bd

Microsoft jeroen ter heerdt

Session On Cloud Computing At Kings College

Crossing the river with confidence; how Oracle Cloud Applications can transfo...

Leadership in the Big Data era

Big data expo - machine learning in the elastic stack

The potential and problems of artificial intelligence

Helping Business Leaders Get Over Their Learning Curve in Advanced Analytics

Value Drivers for Your Data – Big, Fast, or Smart

Big Data LDN 2017: Billions of Rows, the 5ws and H of Interpreting Fast and F...

May 2013 Federal Cloud Computing Summit Welcome by Dr. David McClure

Dcg first chair presentation 08.30.17

Dcg ai legal lexis final final presentation 11.01.17

Viewers also liked

Startup & VC Tech Trends

Dave McClure

SaaS startups - Software Engineering Challenges

Malinda Kapuruge

The Why And How Of Machine Learning And AI: An Implementation Guide For Healt...

Health Catalyst

Join Kenneth Kleinberg, Health IT Strategist, and Eric Just, Senior Vice President, Health Catalyst, as they discuss the What, Why, and How of Machine Learning and AI for healthcare leaders. Attendees will learn: Practical steps, timeframes and skills as well as real-time data and moving targets associated with the Implementation of ML and AI How to deal with challenges inherent in ML and AI implementation What the future holds for ML and AI

Strategy toolbox for startsups

Asher Sterkin

Search Marketers’ Guide to Our New Robot Overlords #stateofsearch

Kelvin Newman

It's no secret that automation, machine learning, artificial intelligence and maybe even robots are going to completely change the world of work in the next decade. And it's already playing a role in how Google works. So how can we humble homo-sapiens prepare ourselves for our new robot overloads? By learning from the past. I'll take you through stories of success and failures of interactions between the robots and the humans and leave you with a practical approach to avoid search marketing extinction.

47 things I Wrote Down @ SaaStr Annual 2017

stewartjer

Ah, SaaStr Annual. The conference of all conferences for us SaaS nerds. The pinnacle of PLU (People Like Us) networking and experience cross-pollination. I’m not a newbie. I’ve read, heard, or lived most of it before, many times over, but I had a very specific goal for myself this year: to focus on answering a few burning questions related to my key objectives for the next 12 months. I found what I was looking for, (hope you did too), and happened to take some decent notes in the process. Enjoy!

4 Ways AI Can Help Your Small Business

Keita Broadwater

Bessemer Venture Partners: The State of the Cloud, 2017-2018 Edition

saastr

AI in cloud

prem1289

How AI Is Transforming B2B Sales & Marketing by Olin Hyde

Data Con LA

Abstract:- Artificial intelligence blurs the lines between sales and marketing by enabling humans to leverage the power of Big Data to command and control every customer's journey. A new category of technology called "intelligent demand generation" enables marketers to explain and predict buyer behavior with unprecedented precision and speed. These capabilities reframe how companies go to market by enabling microtargeting of customers with context-specific content marketing. Early adopters of intelligent demand generation technologies are realizing more than 500% return on investment within 2 months. Three-time AI startup founder and CEO of LeadCrunch describes how his company developed military targeting technology then modified it to make commercial sales teams more efficient.

AI: The New Platform for SaaS

saastr

Artificial Intelligence for Business - Version 2

Nicola Mattina

This presentation is part of a workshop that will help you understand artificial intelligence tools and how they can be employed across your organization. Lectures and activities are customized considering the background of the participants to highlight the use of artificial intelligence in a specific industry and in three different areas: product development, customer care, business operations. Workshop structure 120’ lectures 2 activities to apply the concepts 1 practical toolkit

SaaStr 2017: AI–Enabled SaaS - 4 Models for ML as Competitive Advantage

Sarah Guo

Mobile Is Eating the World (2014)

a16z

Artificial Intelligence (AI) 100 Startups 2017

Sota Watanabe

Bessemer's 10 Laws of Cloud Computing

Bessemer Venture Partners

Mobile Is Eating the World (2015)

a16z

We’ve shared a lot of data about whether and why ‘this time is different’. But beyond that, why is the tech market opportunity larger than any time in history (no, really!)? One word: mobile. In this update of his past presentation on Mobile Eating the World — delivered this month at Andreessen Horowitz’ annual investor meeting — a16z’s Benedict Evans shares just how and why mobile changes everything. Because tech is outgrowing the tech industry.

12 Key Levers of SaaS Success

David Skok

This presentation is from my talk at the 2017 SaaStr Annual Conference in San Francisco. It offers an overview of a simple model to understand a SaaS business and the key levers a CEO can pull to get the most impact. The presentation covers: Optimizing the SaaS Funnel: - Get inside your customer’s head - Break down the funnel into microsteps - Identify bottlenecks - Use funnel math to make improvements 12 key levers within the funnel: 1) Product/Market fit 2) Top of the funnel flow 3) Conversion rate 4) CAC (customer acquisition cost) 5) Number of sales people 6) PPR (productivity per rep) 7) Getting enough leads 8) Pricing 9) Customer retention rate 10) Dollar retention rate 11) Months to recover CAC 12) Recruiting, onboarding & management

U.S. Technology Funding -- What's Going On?

a16z

How Deep Learning Changes the Design Process #NEXT17

Alexander Meinhardt

+ Updated version for NEXT Conference Hamburg + https://nextconf.eu/event/how-deep-learning-is-changing-the-design-process/ Deep learning is a new and exciting subfield of machine learning which attempts to sidestep the whole feature design process. This session explains how it derives from AI, why it quietly became a part of user experience and how it also changes the actual design workflow. The talk highlights a range of use cases and doesn’t forget to illustrate why user experience design for artificial intelligence matters the other way around.

Viewers also liked (20)

Startup & VC Tech Trends

SaaS startups - Software Engineering Challenges

The Why And How Of Machine Learning And AI: An Implementation Guide For Healt...

Strategy toolbox for startsups

Search Marketers’ Guide to Our New Robot Overlords #stateofsearch

47 things I Wrote Down @ SaaStr Annual 2017

4 Ways AI Can Help Your Small Business

Bessemer Venture Partners: The State of the Cloud, 2017-2018 Edition

AI in cloud

How AI Is Transforming B2B Sales & Marketing by Olin Hyde

AI: The New Platform for SaaS

Artificial Intelligence for Business - Version 2

SaaStr 2017: AI–Enabled SaaS - 4 Models for ML as Competitive Advantage

Mobile Is Eating the World (2014)

Artificial Intelligence (AI) 100 Startups 2017

Bessemer's 10 Laws of Cloud Computing

Mobile Is Eating the World (2015)

12 Key Levers of SaaS Success

U.S. Technology Funding -- What's Going On?

How Deep Learning Changes the Design Process #NEXT17

Similar to Accelerating scale from startups to enterprise by Peter bakas

5 Factors in Modern Data Design

Dan Sexton

Audience: Non-technical executives, tech-savvy managers and technical people who want fresh ideas and perspectives on modern enterprise data strategy and design. As infrastructure and services rapidly commoditize, IT is being asked to assume a more strategic and proactive role in most large businesses. This document introduces a set of concepts and tools that may be helpful in integrating and aligning a data strategy with the overall enterprise. Five key factors that have proven relevant to the survival of firms and strategies are introduced along with five practical tools that can be used to consider integrative strategies from a robust set of perspectives.

Digital Competence for Energy Operations

Newhouse Consultants

Splunk Discovery Dusseldorf: September 2017 - IT Ops Session

Splunk

Keys toSuccess: Business Intelligence Proven, Practical Strategies That Work

Senturus

Keys you need to know to achieve BI success. View the webinar video recording and download this deck: http://www.senturus.com/resources/keys-to-success-in-business-intelligence/. With realistic advice taken from Senturus CEO and co-founder John Peterson, he shares 16+ years of real world expertise working with over 1000 clients and 2000 projects to describe how you can truly optimize BI investments. Senturus, a business analytics consulting firm, has a resource library with hundreds of free recorded webinars, trainings, demos and unbiased product reviews. Take a look and share them with your colleagues and friends: http://www.senturus.com/resources/.

The Right Approach to Business Intelligence (BI)

Bayar shahab

Data & Analytics at Scale

Walid Mehanna

Building an immersive Data Function in Large Scale Organizations. Data is hard, analytics is hard. Many challenges in both fields have been mastered, but many more lie ahead. One of them is how to establish the combination of both data and analytics as a company function in a large organization. In this talk, I shared insights from the ongoing journey to build a data function at Mercedes-Benz Cars Finance and to embed it into the company’s innermost workings.

SEE the Cloud: Alan Nance - The urgent rise of digital platforms

TOPdesk

While many organizations are embarking on useful initiatives around DevOps, Agile and Lean; none of these will help the enterprise avoid disruption or drive growth in a world where data is now king, not applications. This presentation explains why time is running out for enterprise IT and why fixing IT is now a business imperative. Alan discusses how organizations need to urgently deploy Digital Platforms on the hyperscale cloud to enable Data Liquidity. This new approach will mean massive reductions in both investment and operational costs while offering new opportunities for the organization to create Digital Intangible Assets (DIA). Alan explains how DIA will drive growth and how IT can stop being the mother of all speed bumps to progress

Leveraging Spark to Democratize Data for Omni-Commerce with Shafaq Abdullah

Databricks

Insnap, a hyper-personalized ML-based platform acquired by The Honest Company, has been used to build a real-time data platform based on Apache Spark, Cassandra and Redshift. Users’ behavioral and transactional data have been used to build data models and ML models, and to drive use cases for marketing, growth, finance and operations. Learn how Honest Company has used Spark as a workhorse for 1) collecting, ETL and storing data from various sources including mysql, mongo, jde, Google analytics, Facebook, Localytics and REST API; 2) building data models and aggregating and generating reports of revenue, order fulfillment tracking, data pipeline monitoring and subscriptions; 3) Using ML to build model for user acquisitions, LTV and recommendations use cases. Spark replaced the monolithic codebase with flexible, scalable and robust pipelines. Databricks helped The Honest Company to focus on data instead of maintaining infrastructure. While Honest users got delightful recommendations to improve experience, data users at Honest understood users much better in terms of segmenting with behavioral information and advanced ML models, leading to increased revenue and retention.

All analytics assets, one launchpad

Robert Hankey

Big Data Scotland 2017

Ray Bugg

Big Data & Analytics continues to redefine business. Data has transitioned from an underused asset to the lifeblood of the organisation, and a critical component of business intelligence, insight and strategy. Big Data Scotland is the largest annual data analytics conference held in Scotland: it is supported by ScotlandIS and The Data Lab and free for delegates to attend. The conference is geared towards senior technologists and business leaders and aims to provide a unique forum for knowledge exchange, discussion and cross-pollination. The programme will explore the evolution of data analytics; looking at key tools and techniques and how these can be applied to deliver practical insight and value. Presentations will span a wide array of topics from Data Wrangling and Visualisation to AI, Chatbots and Industry 4.0. Key Topics • Tools and techniques • Corporate data culture, business processes, digital transformation • Business intelligence, trends, decision making • AI, Real-time Analytics, IoT, Industry 4.0, Robotics • Security, regulation, privacy, consent, anonymization • Data visualisation, interpretation and communication • CRM and Personalisation

Project Management Careers in Data Science

Ganes Kesari

This slide deck was used in the presentation made to the Project Management Institute (PMI) Metrolina Chapter on September 28, 2022. Title: Top Data Science Career Opportunities For Project Managers - Art of the Possible with Data Science - Industry case studies Data & Analytics 101 for PMs: Key disciplines and terminologies - Top roles in data analytics - Project Management in Data Science Takeaways: - How managers influence D&A project outcomes - Key responsibilities & tips for success - Industry examples: Challenges and learnings

Agile dd for investors 4mn

Henri Blondelle

Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)

Spark Summit

More data is being created than ever before and the rate at which it is being created is not slowing. This means that new techniques are being developed and used to tackle big data challenges. At Nielsen, big data means opportunities for new products like digital measurement, but also exposed a skills gap for dealing with big data. This session will cover Nielsen’s successful implementation of Spark and Databricks which has allowed Nielsen to scale its products and its Data Scientists’ skillsets.

Data Analytics in Cyber Security

DNIF

Data Analytics in Cyber Security

Siddhant Mishra

Architecting Data For The Modern Enterprise - Data Summit 2017, Closing Keynote

Caserta

The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence. This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.

The Data & Analytics Journey – Why it’s more attainable for your company than...

John Head

The typical perception of Big Data, Analytics, and Predicative/AI is that only the big companies can reap the benefits. Many believe they need a data warehouse, expensive reporting software, & an army of data scientists to get any value out of effort and cost. This session will explore and debunk that myth and showcase how companies of any size can participate. While there are many maturity models available, most are not designed to be practical guides to solving common business problems. Because of the explosion in cloud services, the barrier to entry has eroded significantly. We will look at some practical steps to access these capabilities and provide examples to where market-leading and growth companies have seen large benefits. Attendees will walk away with broader understanding of what’s possible to move their company through the journey in 2017. We will take a close look at IBM Watson solutions and how they integrate with IBM Collaboration and Social solutions.

The Data & Analytics Journey – Why it’s more attainable for your company than...

LetsConnect

Transforming the Global Content Lifecycle with Andrew Thomas

Information Development World

Lets reaffirm what digital transformation means for our everyday lives, how you can create a global content strategy that works best for your business, and why machine learning is the path to relevance and competitive advantage. • Digital transformation is a requirement, not a choice • The right global content strategy is everything • Humans need machines but machines need humans too This presentation was given at Information Development World on May 17, 2017 Don’t miss our upcoming event, Information Development World: Creating Machine-Ready Content to be held on November 28-30, 2017. http://www.informationdevelopmentworld.com

SplunkLive! Zurich 2017 - Advanced Analytics / Machine Learning

Splunk

Splunk is a powerful platform for understanding your data. This session will provide an overview of machine learning capabilities available across Splunk’s portfolio. We'll dive deeply into Splunk's Machine Learning Toolkit App, which extends Splunk Enterprise with a rich suite of advanced analytics, machine learning algorithms, and rich visualizations. It also provides customers with a guided model-building and operationalization environment. The demonstration will include the guided model-building UI for tasks such as predictive analytics, outlier detection, event clustering, and anomaly detection. We’ll also review typical use cases and real-world customers who are using the Toolkit to drive business results.

Similar to Accelerating scale from startups to enterprise by Peter bakas (20)

5 Factors in Modern Data Design

Digital Competence for Energy Operations

Splunk Discovery Dusseldorf: September 2017 - IT Ops Session

Keys toSuccess: Business Intelligence Proven, Practical Strategies That Work

The Right Approach to Business Intelligence (BI)

Data & Analytics at Scale

SEE the Cloud: Alan Nance - The urgent rise of digital platforms

Leveraging Spark to Democratize Data for Omni-Commerce with Shafaq Abdullah

All analytics assets, one launchpad

Big Data Scotland 2017

Project Management Careers in Data Science

Agile dd for investors 4mn

Scaling Your Skillset with Your Data with Jarrett Garcia (Nielsen)

Data Analytics in Cyber Security

Architecting Data For The Modern Enterprise - Data Summit 2017, Closing Keynote

The Data & Analytics Journey – Why it’s more attainable for your company than...

Transforming the Global Content Lifecycle with Andrew Thomas

SplunkLive! Zurich 2017 - Advanced Analytics / Machine Learning

Recently uploaded

Accelerate your Kubernetes clusters with Varnish Caching

Thijs Feryn

Epistemic Interaction - tuning interfaces to provide information for AI support

Alan Dix

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

Neuro-symbolic is not enough, we need neuro-*semantic*

Frank van Harmelen

Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...

UiPathCommunity

💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™: See how to accelerate model training and optimize model performance with active learning Learn about the latest enhancements to out-of-the-box document processing – with little to no training required Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath. Speakers: 👨‍🏫 Andras Palfi, Senior Product Manager, UiPath 👩‍🏫 Lenka Dulovicova, Product Program Manager, UiPath

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ThousandEyes

JMeter webinar - integration with InfluxDB and Grafana

RTTS

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

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Product School

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Tobias 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.

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

Key Trends Shaping the Future of Infrastructure.pdf

Cheryl Hung

PCI PIN Basics Webinar from the Controlcase Team

ControlCase

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

FIDO Alliance

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Prayukth 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/

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

BookNet Canada

The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more. Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/ Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.

The Future of Platform Engineering

Jemma Hussein Allen

FIDO Alliance Osaka Seminar: Overview.pdf

FIDO Alliance

Generating a custom Ruby SDK for your web service or Rails API using Smithy

g2nightmarescribd

Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.

Elevating Tactical DDD Patterns Through Object Calisthenics

Dorra BARTAGUIZ

After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

Recently uploaded (20)

Accelerate your Kubernetes clusters with Varnish Caching

Epistemic Interaction - tuning interfaces to provide information for AI support

Neuro-symbolic is not enough, we need neuro-*semantic*

Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...

Assuring Contact Center Experiences for Your Customers With ThousandEyes

JMeter webinar - integration with InfluxDB and Grafana

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

When stars align: studies in data quality, knowledge graphs, and machine lear...

Key Trends Shaping the Future of Infrastructure.pdf

PCI PIN Basics Webinar from the Controlcase Team

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

UiPath Test Automation using UiPath Test Suite series, part 3

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

The Future of Platform Engineering

FIDO Alliance Osaka Seminar: Overview.pdf

Generating a custom Ruby SDK for your web service or Rails API using Smithy

Elevating Tactical DDD Patterns Through Object Calisthenics

Monitoring Java Application Security with JDK Tools and JFR Events

Accelerating scale from startups to enterprise by Peter bakas

1. Accelerating Scale From Startups to Enterprise Peter Bakas DataStax

2. Hello!I am Peter Bakas VP, Cloud Platform Engineering DataStax Managed Cloud @peter_bakas 2017

3. 2017

4. DataStax Data Management for Cloud Applications 2017

5. DataStax Announces its Acquisition of DataSCALe on November 15, 2016 Datascale is a provider of cloud-based Management for Data Infrastructure 2017

6. 2. Product 1. Culture 3. Technology 2017

7. 1. Culture 2017

8. 2017 Freedom & Responsibility

9. “It may well be the most important document to ever come out of Silicon Valley” -Sheryl Sandberg, Facebook COO 2017

10. Every Company is Different 2017

11. × Team × Communication × Data Driven 2017

12. × Attitude, Aptitude, Abilities × High Performance × The Reasonable Person Principle 2017

13. × Open, direct, honest × Listen instead of reacting × More context, less control 2017

14. × Move from assumptions × Use data, don’t watch data × Provide better context 2017

15. 2. Product 2017

16. “We didn’t do anything wrong, but somehow we lost...” -Stephen Elop, Nokia CEO 2017

17. 2017

18. If you don’t Change, you will be eliminated from the competition 2017

19. 2017 Let Reusability drive new Value

20. 3. Technology 2017

21. 2017 Time Based Economy

22. 2017 × We have always done it this way × We are different × We can do it better

23. 2017 × Auto Scaling × Self Service × Self Healing

24. 2017 × Too many projects × Need to migrate × Moved on × What took so long?

25. 2017 × Central Teams × SaaS Providers × Cloud Providers

26. 2017

27. 2017

28. 2017

29. 2017

30. 1,000,000,000,00 0Events/Day 99.999%Events Delivered/Day 12,500,000,000Events/Sec (Peak) 2017

31. 1.4PB/Day (35GB/Sec Peak) Whoa! That’s a big number. 2017 Total Volume of Events Processed EveryDay

32. A true Story! 2017 Keystone went Live 10/27/2015

33. 2 days Later... 2017

34. Place your screenshot here 80% “Loss” over next 6 hours 2017

35. “We don’t celebrate failure in Silicon valley. We celebrate learning.” -Reid Hoffman, Linkedin 2017

36. × There are times when things go wrong and there is no turning back × Reduce Complexity × Minimize blast radius × Find a way to start over fresh 2017

37. Place your screenshot here STSI Short Term Stand in 2017

38. Place your screenshot here Failover Time is of the Essence - Failover in less than 5 mins 2017

39. Questions??? 2017

40. × Full Automation × Self Healing × Expect and Exercise Failure 2017

41. THAN KS!You can find me at @peter_bakas 2017

Accelerating scale from startups to enterprise by Peter bakas

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Viewers also liked

Viewers also liked (20)

Similar to Accelerating scale from startups to enterprise by Peter bakas

Similar to Accelerating scale from startups to enterprise by Peter bakas (20)

More from Ido Shilon

More from Ido Shilon (13)

Recently uploaded

Recently uploaded (20)

Accelerating scale from startups to enterprise by Peter bakas