Podcasts about splunk machine learning toolkit

Do you want to use machine learning to enhance your datacenter security monitoring, but you don’t know where to start? Then this is the talk for you. Come learn how high secure datacenter operations benefit from operationalizing machine learning. With the help of the Splunk's Machine Learning Toolkit, your security analysts can take different approaches to use case creation and gain new insight into what's going on in your environment. We'll detail the challenges, benefits and use cases of using machine learning for datacenter security monitoring, and we'll answer questions such as: Where does it make sense to apply machine learning, and where should we stick with classic searches? Can we detect meaningful anomalies in system behavior? Is it possible to cluster our account activities and find unusual patterns? This is a practical session of security monitoring use cases, deep diving into the ideas, concepts and the SPL behind them. Speaker(s) Oliver Kollenberg, Security Consultant, Siemens Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1374.pdf?podcast=1577146214 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

It’s time to demystify Machine learning:-            Do you typically ask your friends what they will order, before you decide what you will order? Did you know that already the ancient Greeks clued out that numbers rules the universe?-             What makes machine learning so powerful considering the human brain is way smarter.... but maybe not always?-             This session will walk you through the basics of machine learning, what is it, what it is not. How to avoid pitfalls.-             After this session you will have knowledge around the concept of Machine Learning,  what the pre-built Splunk ML products are as well as IKEAs exploration of Splunk`s different ML techniques. Speaker(s) Magnus Johansson, Solution Architect, IKEA Simon Ogden, Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1586.pdf?podcast=1577146200 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Good for all skill levels

Predictive maintenance is a key initiative and a strategy that directly impacts the bottom lines of many industrial operations around the globe. Yet many of the organizations don’t know where and how to start due to a lack of knowledge about data platforms, methodology, and analytics techniques. Based on the recently released “Splunk Essentials for Predictive Maintenance” app that offers key methodologies and Splunk’s powerful machine learning capability, this session will demystify the data science elements of predictive maintenance to make the process real and pragmatic. Through this session, the audience will learn and appreciate the power of Splunk in a way that will allow agile application of analytic-driven predictive maintenance to the broader moving parts of their operations. Speaker(s) Young Cho, Senior IoT Practitioner, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IoT1103.pdf?podcast=1577146205 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Intermediate

Production of crystal and gemstones requires high-class, top-quality output and unmatched quality and accuracy in the E2E production line. Based on in-depth experience, our joint client is one of the leading providers of production line machinery, serving its own business units as well as industry customers with precision optical instruments, grinding, sawing, drilling, and dressing tools. The new technical innovations in the area of Industrial Internet of Things (IIoT) offer completely new options to improve smart production lines. Thus Accenture is partnering with Splunk on creating a roadmap to build a fully digital, smart factory that will become a world-leading lighthouse facility. This session will provide insights into how the power of data enabled by Splunk can realize a quantum step in modern production line environments. It also will help you understand the value of data science for predictive quality, digital twin scenarios, reduced lot size, and closed loop R&D processes. Speaker(s) Stefan Schroder, Managing Director, Accenture Ron Perzul, Senior Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IoT1509.pdf?podcast=1577146206 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML, Splunk for Industrial IoT Track: Internet of Things Level: Good for all skill levels

Can Splunk help eliminate environmental risks and save the company money at the same time? The Alabama Department of Environmental Management (ADEM) sets standards defining the amount of Volatile Organic Compounds (VOCs) that can be safely released. Honda Manufacturing of Alabama (HMA) must adhere to those standards and track our compliance within the parameters set forth by the ADEM. Failure to comply with these standards will result in potentially damaging the environment and large fines. HMA uses a Regenerative Thermal Oven (RTO) to burn off pollutants from our paint department, which is controlled by an Allen Bradley Programmable Logic Controller (PLC). Using this PLC and the sensors built into the RTO, we collect individual chamber temperatures, fan speeds, exhaust temperatures, motor winding temperatures, motor vibrations, and fan vibrations. Using these readings and the Splunk Machine Learning Toolkit we try to predict if the temperature will be within the set range. Speaker(s) Charlie Studdard, Machine Data Analytics, Honda Manufacturing of Alabama Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1629.pdf?podcast=1577146206 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

Take a deep dive in this enablement focused presentation where we cover the background, data and how to implement 3 Splunk solutions entirely captured in this sessions' companion app that shows how to use Splunk for maintaining a state of good repair, make data-driven decisions to garner rate payer confidence and proactively realize conservation goals.  The use cases covered in this session are: *** Corrosion Analytics - See how to use machine learning combined with ArcGIS, Maximo and Corrosion data to create an interactive map to predict pipe failures and replacement priorities based on proximity to sensitive infrastructure. *** Mobile Work Fleet - see how to use scripted inputs to develop asset management dashboards, make data driven purchasing decisions and optimize routes. *** Water Leak detection - see how Splunk's Machine Learning Toolkit can be used to easily detect anomalous consumption based on user behavior and automate alerting utilities and customers to prevent water waste. Speaker(s) Tony Nesavich, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1318.pdf?podcast=1577146207 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

If we hear a nearby gunshot, we instinctively react. A mechanic often knows their machine's sound so well that they can diagnose issues by sound alone. While machines can be given analytical capabilities with machine learning (ML), sensing human inputs - like auditory or other sensory data - in a form that machines can understand is challenging. In Splunk, we have been all about making machine data accessible to humans, but what if we flip that and make human data accessible to machines? I take audio captured from live and recorded sources and using Fast Fourier transform feed it into Splunk's Machine Learning Toolkit (MLTK) for classification and anomaly detection. Can we use Splunk to detect gunshots? Can we learn a machine’s normal sounds to detect pending failures? This presentation uses Splunk to apply superhuman ML detection and learning capabilities to human data to show that the MLTK contains accessible tools you can apply to your IT and security problems. Speaker(s) Joshua Marsh, Senior Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IoT1560.pdf?podcast=1577146207 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

Production of crystal and gemstones requires high-class, top-quality output and unmatched quality and accuracy in the E2E production line. Based on in-depth experience, our joint client is one of the leading providers of production line machinery, serving its own business units as well as industry customers with precision optical instruments, grinding, sawing, drilling, and dressing tools. The new technical innovations in the area of Industrial Internet of Things (IIoT) offer completely new options to improve smart production lines. Thus Accenture is partnering with Splunk on creating a roadmap to build a fully digital, smart factory that will become a world-leading lighthouse facility. This session will provide insights into how the power of data enabled by Splunk can realize a quantum step in modern production line environments. It also will help you understand the value of data science for predictive quality, digital twin scenarios, reduced lot size, and closed loop R&D processes. Speaker(s) Stefan Schroder, Managing Director, Accenture Ron Perzul, Senior Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IoT1509.pdf?podcast=1577146262 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML, Splunk for Industrial IoT Track: Internet of Things Level: Good for all skill levels

Splunk is increasingly at the forefront of new approaches to IT Operations, especially in disruptive ‘cloud-native’ businesses. This session will help you understand how ‘New Ops’ techniques like Observability, Site Reliability Engineering, SLOs/SLIs, Error Budgets, ChatOps, and Blameless Post-Mortems can help your IT Ops team; and how you can adopt ‘New Ops’ technologies like Containers, Microservice Architectures, Machine Learning, Orchestration, Predictive Analytics, and AI for IT Ops. Speaker(s) Andi Mann, Chief Technology Advocate, Splunk Endre Peterfi, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1448.pdf?podcast=1577146263 Product: Splunk IT Service Intelligence, Splunk Machine Learning Toolkit, VictorOps Track: IT Operations Level: Intermediate

Deep Learning frameworks like TensorFlow and PyTorch let you extend Splunk's Machine Learning Toolkit with custom algorithms that provide you with an edge for advanced AI and ML use cases in Security, IT Operations, IoT or for any advanced custom analytics. In this talk you learn about the latest evolution to streamline the usage of TensorFlow 2.0 and PyTorch with the MLTK Container extension. Integrated Jupyter Notebooks help data scientist to accelerate their custom model development, deployment and operationalization. The MLTK Container can leverage GPUs for parallel computing and accelerate model training for big complex datasets. This session is suitable for all python-minded data scientists and developers who want to tap into deep learning use cases with Splunk. Speaker(s) Anthony Tellez, Staff Data Scientist, Splunk Philipp Drieger, Staff Machine Learning Architect , Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1409.pdf?podcast=1577146200 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Advanced

Cryptocurrency ecosystems are highly complex, distributed, and rapidly evolving, rendering many existing financial models ineffective. By aggregating the heterogeneous data streams that are produced by distinct groups within crypto (blockchains, mining pools, exchanges, etc.), we have built a unified analytical platform called Nakamoto Terminal (NTerminal) using Splunk. By leveraging NTerminal, we are creating an adapted agent-based modeling (ABM) system; agents monitor the state of the ecosystem by consuming real time updates from the individual data sources that modulate their state and connectivity. Different heuristic models are called upon to facilitate data transformations and agent interactions. Within this ecosystem, collective agent activity reveals emergent properties and patterns of behavior. With Splunk as the centerpiece, integrated reports, dashboards, or searches allow you to better navigate the ecosystem of interest. Speaker(s) Nick Gans, Research and Development Lead, Inca Digital Securities Zach Finzi, Research & Software Director, Inca Digital Securities Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1408.pdf?podcast=1577146200 Product: Splunk Enterprise, Splunk Machine Learning Toolkit Track: Foundations/Platform Level: Intermediate

"Did we just lose ALL our knowledge objects? Do you know how much time and energy that was?" After a destructive resync, Paychex lost two months of its knowledge object creations/modifications. We learned to be prepared if it were to ever happen again. How? It's easier than you might think, and you don't have to be an admin. You’ll learn how to proactively save your work (dashboards, reports, data models, MLTK experiments, ITSI glass tables, macros, views, etc.) and audit changes when they occur. You will leave the session knowing how to manage the ever-increasing amount of things you create. You'll also have solutions that can save you time and effort from having to recreate lost/modified objects, including how to restore service faster. You also will come away with peace of mind knowing that you can take control of safeguarding and protecting your work, thereby covering your assets when a disaster happens. Speaker(s) Dustin Marling, Splunk App Developer, Paychex Eric Favreau, Service Health Operations Analyst, Paychex Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1315.pdf?podcast=1577146201 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: Foundations/Platform Level: Good for all skill levels

Are you drowning in a sea of data that expands daily? Overwhelmed by 1000s of events and alarms? Tasked with tracking a dynamic, ever-morphing infrastructure? Expected to resolve requests, incidents, and performance issues in seconds, not days… without adding any more headcount to your team? You’re not alone.Enter Automation, AIOps, and machine learning (ML). It’s finally IT’s turn to harness these powerful technologies to improve operational efficiency, reduce MTTR, eliminate alarm noise, streamline service requests, increase performance without lifting a finger, and tame the beast of IT complexity. Join our session as we explore practical applications for these technologies today and in the future to transform the way you approach IT operations. Get real world examples from other IT professionals and see how you can maximize your investments in Splunk, ITSM, monitoring tools, and more by bringing AI, ML, and automation to the mix.​ Speaker(s) Rob Kelsall, VP, Global Sales Engineering, Resolve Systems Slides PDF link - https://conf.splunk.com/files/2019/slides/ITS2752.pdf?podcast=1577146212 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: IT Operations Level: Good for all skill levels

Wouldn’t it be a great if we had Splunk’s version of Moneyball; an application where everyone comes out ahead by leveraging data to drive effective Splunk enablement and adoption? Splunk’s internal logs have a wealth of information about how Splunk is being used within your organization. Let’s take drinking the “Splunk Champagne” to the next level by applying statistics and machine learning to Splunk’s internal logs! This session will cover segmenting users based on their search profiles - number of searches run, average response times, and recency of searches executed, among other criteria. We’ll use techniques such as clustering to classify users from novice to experts, and use TF-IDF and text analytics techniques to understand commands used in search strings. Enriching this data with completed and planned Splunk Education courses, lunch & learn sessions, and other training activities will enable your users to achieve the Splunk Ninja status they’re looking for! Speaker(s) Anand Ladda, Staff Solutions Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1373.pdf?podcast=1577146201 Product: Splunk Enterprise, Splunk Cloud, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Intermediate

Is confidence in your ability to disassociate real alerts from noise at an all-time low? Are alerts becoming ineffective because they’re excessive? Many organizations across many industries wrestle with these questions daily. Even so, the prevalence of alert noise persists. Join us to understand how T-Mobile is using Splunk Enterprise with the Splunk Machine Learning Toolkit to identify and narrow the point of origin of service-impacting events across our suite of enterprise applications. Using the DensityFunction algorithm to highlight anomalous behavior, we’re able to focus an investigation on a small subset of the applications which in turn leads to faster resolution of the issues we’re confronted with.  Speaker(s) Iman Makaremi, Principal Product Manager – Machine Learning and AI, Splunk Scott Garcia, MTS - Member Technical Staff, T-Mobile Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1366.pdf?podcast=1577146201 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Intermediate

It’s a bird, it’s a plane. Yes, it’s a plane! Let’s go for a flight into the skies of aviation data and the concepts and tools that make aviation data analytics easy. I’ve been capturing this open data for nearly two years, and I’ve been able to unravel some insights based on four projects. Two projects focus on processing Canadian/U.S. safety reports, while the other two are processing data captured and logged from a radio receiver made from a Raspberry Pi. Data Science is offering very exciting careers and providing an important competitive differentiator, which is why we’ll be reviewing several statistical processing techniques made possible by the power of the Machine Learning Toolkit. We also will cover exploratory data analysis tools built into the Search Processing Language. Before we approach for landing, we’ll show everything under the hood so that everybody can understand the things that make it fly. This is both a technical deep dive as-well-as a practical usage walkthrough. Speaker(s) Cory Syvenky, Sr. Cloud Analyst, WestJet Slides PDF link - https://conf.splunk.com/files/2019/slides/FN2103.pdf?podcast=1577146201 Product: Splunk Enterprise, Splunk Cloud, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Good for all skill levels

This presentation will walk users through how to use the machine learning toolkit to accurately forecast disk usage across their entire environment, giving them the exact day, month, and year when a server will run out of disk space. No more being awakened at 3:00 am for a bridge call due to a drive running out of disk. This process also can be used by capacity planning teams to select a future date and get a clear view of capacity across the business for all servers. Using machine learning to remove tech debt in an organization does not require a data scientist. You can do it if you have the right server metrics and the MLTK installed. Speaker(s) Steve Koelpin, Splunk Advisor, TransUnion Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1137.pdf?podcast=1577146201 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Intermediate

Wouldn’t it be great if you can just be proactively told when your Splunk deployment needs your attention? Wouldn’t it be simply awesome to go to one place and know exactly what the problem is and how to resolve it? At Splunk we understand that every organization suffers the pain of throwing resources to keep the lights on for their infrastructure environment. Fortunately the new version of Splunk Monitoring helps you know when things are not performing as expected. You can now see health of deployment wide without affecting your search or indexing latency and go through guided set of checks curated from years of support experience to solve issues first hand.  Speaker(s) Amrit Bath, Sr Manager, Engineering, Splunk Shruti Anand, Product Manager, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN2087.pdf?podcast=1577146201 Product: Splunk Enterprise, Splunk Machine Learning Toolkit Track: Foundations/Platform Level: Good for all skill levels

Anomaly Detection, Predictive Analytics, and Clustering — oh my! Splunk customers want answers from their data, and machine learning is here to help. This session will help demystify the machine learning process, show how common machine learning themes are used for different outcomes at customers around the world, and give you next steps for achieving success at home by implementing machine learning! We aren’t talking about just science projects. We'll be giving examples and public details about Splunk’s Machine Learning Advisory successes over the years. Expect to leave with tangible examples you can implement back in the real world - if you can Escape from Vegas! Speaker(s) Iman Makaremi, Principal Product Manager – Machine Learning and AI, Splunk Harsh Keswani, Product Manager: Machine Learning, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1470.pdf?podcast=1577146202 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Intermediate

Let's face it, sometimes you don't know what you don't know. With vast amounts of cloud data coming in at cloud-speed, it can be difficult to see through the noise and know what to look for. Are malicious adversaries attempting to comprise the environment? Is my environment under- or over-provisioned? Do I have an insider possibly exfiltrating company data? Are employees actually using the services? What is all of this costing per service, department, business unit? Don't worry, we will help you figure all this out in a prescriptive manner by showcasing these and other use cases. Then, we will show you the "how" by exposing the searches, the data needed, and showing you how to onboard that data. You will walk away with use cases that can be implemented immediately in your own environment. Speaker(s) Jason Conger, Solution Architect, Splunk Ry Lait, Senior Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1328.pdf?podcast=1577146202 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit Track: Foundations/Platform Level: Intermediate

Last year at .conf18 we used Splunk and Machine Learning Toolkit (MLTK) to analyze and predict the crime in London. This year we are taking a step forward and analyzing the bias in the police actions in the U.K. We will use police, population, religion, and race data to understand how police use their powers in different areas on people from different racial backgrounds. We will use open data sources and index them in Splunk. Using advanced visualizations we will analyze the data and understand more about police actions. Then using MLTK we will create a predictive model for crimes and then analyze the model for any bias due to the data provided. Machine bias is a real issue nowadays when machine learning algorithms are increasingly being used by government agencies to predict crime and even pass sentences on convicts. We need to understand that along with having positive impact of predicting crime, it can have a long-lasting negative impact as well. Speaker(s) Shashank Raina, Professional Services Consultant, NCC Group Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1679.pdf?podcast=1577146202 Product: Splunk Enterprise, Splunk Machine Learning Toolkit Track: Foundations/Platform Level: Intermediate

Do you want to rely on manual intervention to fix your application if something goes wrong? In this deep-dive session you will learn how Priceline uses machine learning to find outliers and anomalies in various data sets, including but not limited to bookings, search patterns, changes in logging patterns, etc. You will learn how we used machine learning combined with predictive analytics to solve variety of use cases. For example, we collect Kafka offset data, which is sending data to their respective syncs. We also monitor to see if the traffic is receded or data consumption has increased or decreased unexpectedly. We will show how different stages of application states are controlled with the use of data and alerts, like disabling the app and enabling it according to the data. We also will show you how Priceline deals with brownouts, the gradual degradation of volumes by using machine learning over long periods, using different self healing techniques and custom apps. Speaker(s) Mukund Murthy, Software Engineer, Priceline.com Pranav Nandedkar, software engineer, Priceline.com Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1916.pdf?podcast=1577146202 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Good for all skill levels

Hey mad scientist, why so angry? Learn how Splunk is rethinking experiments in the Machine Learning Toolkit (MLTK) to make your life easier. Find out how we're changing the experiment workflow to reflect real-world usage of the MLTK, and make it easier for people new to the MLTK to get up and running. Strap on your safety goggles and let's get experimenting! Speaker(s) Gyanendra Rana, Senior Product Manager, Splunk Ryan Oriecuia, Principal Software Developer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1553.pdf?podcast=1577146203 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Good for all skill levels

This session is about a healthcare company born from cybersecurity using Splunk to disrupt the traditional healthcare delivery model. Accuhealth has created a remote patient monitoring platform to analyze health and biometric data collected from IoT devices to improve the patients' quality of life. A doctor is alerted in real-time of any abnormal changes to their patient's vitals and have immediate access to medical trends, allowing the doctor to make faster and more informed decisions. Splunk is at the nerve center of our platform. Using machine learning and health data, the tool provides actionable insights and predictive analysis to patients, doctors, caregivers, and researchers. Additionally, we have leveraged Splunk to integrate the three pillars of telehealth: Telemedicine, Chronic Care Management, and Remote Patient Monitoring. Learn first hand and see a demo of how Accuhealth is creating a paradigm shift in healthcare. Speaker(s) Stephen Samson, CEO, Accuhealth Technologies LLC Shelby Neal, VP of Information Technology, Accuhealth Technologies LLC Slides PDF link - https://conf.splunk.com/files/2019/slides/IoT1413.pdf?podcast=1577146205 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

Splunk is increasingly at the forefront of new approaches to IT Operations, especially in disruptive ‘cloud-native’ businesses. This session will help you understand how ‘New Ops’ techniques like Observability, Site Reliability Engineering, SLOs/SLIs, Error Budgets, ChatOps, and Blameless Post-Mortems can help your IT Ops team; and how you can adopt ‘New Ops’ technologies like Containers, Microservice Architectures, Machine Learning, Orchestration, Predictive Analytics, and AI for IT Ops. Speaker(s) Andi Mann, Chief Technology Advocate, Splunk Endre Peterfi, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1448.pdf?podcast=1577146211 Product: Splunk IT Service Intelligence, Splunk Machine Learning Toolkit, VictorOps Track: IT Operations Level: Intermediate

So you have a SIEM with security data, e.g. firewalls, proxy, endpoint data, etc. Now what? How do you effectively operationalize your investment? This session provides recipes, principles, patterns, and strategies for using Splunk and data-driven analytics to move your security monitoring and compliance effectiveness up the maturity curve. This session will cover how to identify key mixes of data sources, core OOTB content to use, and how to layer capabilities aligned with your maturity. We will help you go beyond the endless alerts and investigations and start creating value by reducing the impact of potential security events. We're excited to show you that there's no need for a PhD in security assurance and operations—just Splunk and a solid plan. Speaker(s) Paul Davilar, Security Consultant, Splunk Paul Pelletier, Sr. Security Consultant, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1391.pdf?podcast=1577146214 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, Phantom Track: Security, Compliance and Fraud Level: Intermediate

Deception, automation, and real-time data exploitation help security organizations go on offense vs attackers. In this session we will discuss how to use a variety of deception techniques to gather threat intelligence, how to create an automated response, and how to test response playbooks to validate that responses work as expected. Speaker(s) Vincent Urias, Researcher, Sandia National Laboratories Will Stout, Researcher, Sandia National Laboratories Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2203.pdf?podcast=1577146239 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, Phantom, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

Malware infection, lateral movement, data exfiltration, oh my! If you’ve spent any time around the wizarding world of security, you know how much effort goes into preventing dark magic from happening. What if you could use machine learning to stay one step ahead of the adversary? Fasten your seatbelts, because in this talk we will show you how Splunk can utilize machine learning models to take your security detections to the next level. We’ll demonstrate how Splunk's Machine Learning Toolkit can be used to train, validate, and then deploy models to identify anomalies and discover clusters of bad behavior via user-friendly guided workflows—all this while training your models with more data then you’ve ever been able to before. Prepare to leave Las Vegas equipped to incorporate machine learning in your organization’s security detections and jump from reactive to proactive. Mischief managed! Speaker(s) Melisa Napoles, Sales Engineer, Splunk Erika Strano, Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2129.pdf?podcast=1577146215 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Good for all skill levels

When is a 20MB email to an external Gmail account dangerous? It all depends on context. Understanding what normal behavior is will reveal whether specific behavior is malicious or ordinary. We’ll walk you through how using Splunk’s Machine Learning Toolkit and Splunk Enterprise Security together provides actionable insight for analysts to improve security. We'll also detail how we caught insider threats in our environment with these tools. Speaker(s) Karthik Subramanian, Principal Senior Cybersecurity Engineer, SAIC Tyler Williams, Cybersecurity Data Analyst, SAIC Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1305.pdf?podcast=1577146215 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

20+ million subscribers, 290PB network traffic daily, and tens of millions of IoT, IPTV and ICT devices—a bigger network means more attacks from all over the world. Learn how SK Broadband, the biggest telco/ISP provider in South Korea, leverages Splunk Enterprise Security (ES) to protect their subscribers from countless DDoS and malware attacks. We will cover detailed use cases for analyzing a high volume of data—500 million security events over 7 billion logs per day—as well as how we met a high bar of operational efficiency by customizing our ES deployment. Speaker(s) Daesoo Choi, Senior Sales Engineer, Splunk Kyoung Geun Lee, SoC Senior Manager, SK Broadband Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2274.pdf?podcast=1577146215 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit Track: Security, Compliance and Fraud Level: Intermediate

Are your analysts spending too much time clearing through notable events? Ours were too, but today our analysts are living the dream: they have all the details they want right there on the Incident Review screen, all while our alerts fine-tune themselves (with workflow action human input). Come and see how we achieved Incident Review Screen 2.0. by using Splunk's Machine Learning Toolkit to transition to smarter correlation searches. Speaker(s) Lukasz Antoniak, Cyber Detection Crafting Chief, Viasat Ryan Rake, Viasat Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1673.pdf?podcast=1577146215 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

Threat hunting is hard, and threat hunting in an enterprise network with thousands of endpoints is even harder. We will demonstrate how we leveraged Splunk Enterprise to build an Advanced Threat Hunting platform designed for large scale threat hunting of 100,000 or more endpoints. Using Splunk Enterprise allows us to combine analytics, data enrichment, and custom workflows to display in one platform the most important data to analysts. Our threat hunting platform addresses the challenges of data retention and collection, high false positive rates, and analyst fatigue, all while lowering the time to detection of malicious incidents and improving the efficiency of enterprise SOC operations. Speaker(s) Dan Rossell, Analyst, Booz Allen Hamilton Ashleigh Moriarty, Lead Technologist, Booz Allen Hamilton Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1071.pdf?podcast=1577146215 Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Machine Learning Toolkit Track: Security, Compliance and Fraud Level: Intermediate

To tame an event queue that's ballooning out of control, you need to know first which rules and data sources are generating a disproportionate number of alerts, and second the security value you're getting from those rules and data sources. Any changes made to rules or telemetry analyzed without that knowledge risk making your organization more vulnerable. In this session we'll discuss how Splunk empowers us to perform advanced analytics on everything from alert conversion rates to human time expenditure on alerts so that we can optimize all processes related to alerting. As long as we know what to measure and where to look, Splunk can help us tune our security operations centers to reduce monotony and false positives without diminishing our ability to detect actual threats. Speaker(s) Keshia LeVan, Detection Engineer, Red Canary Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2105.pdf?podcast=1577146215 Product: Splunk Cloud, Splunk Machine Learning Toolkit Track: Security, Compliance and Fraud Level: Advanced

Join this session to learn the do’s and dont’s of rolling an effective cloud security visibility platform for a global organization. We will cover topics such as why we moved away from our previous SIEM provider, deploying and managing a cloud-based SIEM, and effectively using a third party organization to provide tier 1 and 2 event and incident support. Speaker(s) Simon O’Brien, Principal Sales Engineer, Splunk Grant Slender, Chief Information Security Officer, QIC Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1205.pdf?podcast=1577146216 Product: Splunk Cloud, Splunk Enterprise Security, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

Aflac measures risk to provide financial protection to more than 50 million people worldwide. Join this session to learn how Aflac mitigates fraud by using Splunk's Machine Learning Toolkit (MLTK) to find outliers and cluster events. Using Splunk and the MLTK reduced the time needed to conduct necessary analyses (e.g. link analysis) from weeks and months to just minutes—we will share with you how we use Splunk's MLTK to iterate quickly, develop new anomaly detection techniques, and improve our overall fraud mitigation perfomance. Speaker(s) Matthew Harper, Director, Cyber Crime Prevention, Aflac Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1904.pdf?podcast=1577146216 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Security, Compliance and Fraud Level: Advanced

Deception, automation, and real-time data exploitation help security organizations go on offense vs attackers. In this session we will discuss how to use a variety of deception techniques to gather threat intelligence, how to create an automated response, and how to test response playbooks to validate that responses work as expected. Speaker(s) Vincent Urias, Researcher, Sandia National Laboratories Will Stout, Researcher, Sandia National Laboratories Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC2203.pdf?podcast=1577146216 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, Phantom, AI/ML Track: Security, Compliance and Fraud Level: Intermediate

So you have a SIEM with security data, e.g. firewalls, proxy, endpoint data, etc. Now what? How do you effectively operationalize your investment? This session provides recipes, principles, patterns, and strategies for using Splunk and data-driven analytics to move your security monitoring and compliance effectiveness up the maturity curve. This session will cover how to identify key mixes of data sources, core OOTB content to use, and how to layer capabilities aligned with your maturity. We will help you go beyond the endless alerts and investigations and start creating value by reducing the impact of potential security events. We're excited to show you that there's no need for a PhD in security assurance and operations—just Splunk and a solid plan. Speaker(s) Paul Davilar, Security Consultant, Splunk Paul Pelletier, Sr. Security Consultant, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/SEC1391.pdf?podcast=1577146237 Product: Splunk Enterprise Security, Splunk Machine Learning Toolkit, Phantom Track: Security, Compliance and Fraud Level: Intermediate

AIOps platforms utilize big data, modern machine learning, and advanced analytics technologies to directly and indirectly enhance IT Operations functions. This session shows how to leverage Splunk IT Service Intelligence (ITSI) and the Machine Learning Toolkit (MLTK) to build a basic, self-learning recommendation engine. Your Operations Center will reap the benefits from having assisted recovery input, but this session does not stop there. It also will show you how to fully automate the recovery. If you have AIOps initiatives on your radar come on and participate in this session Speaker(s) Martin Wiser, ITOA Practitioner, Splunk Pierre Brunel, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1119.pdf?podcast=1577146242 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: IT Operations Level: Advanced

Do you want to predict an outage before it happens? Are you wondering how to pursue the incremental journey to Artificial Intelligence Operations (AIOps)? This case study will reveal a real-world use case from T-Mobile USA and show you how to predict cell tower congestion in advance using Splunk Machine Learning Toolkit. In the age of binge watching on cell phones and wireless broadband services, cell congestion reduces speed and reliability and results in buffered video streaming and/or dropped calls that dents the use of services and the revenue. Building forecasting models for congestion requires correlation of several parameters including seasonal variations. Doing this on a large scale in real time takes significant resources. In this session, attendees will learn about the journey to build this predictive capability, including data analysis techniques, machine learning algorithms, benefits, and lessons learned. Speaker(s) Vijay Veggalam, Member of Technical Staff, T-Mobile Gintaras Gaigalas, Sr. RF Engineer, T-Mobile Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1722.pdf?podcast=1577146211 Product: Splunk Machine Learning Toolkit Track: IT Operations Level: Good for all skill levels

"Did we just lose ALL our knowledge objects? Do you know how much time and energy that was?" After a destructive resync, Paychex lost two months of its knowledge object creations/modifications. We learned to be prepared if it were to ever happen again. How? It's easier than you might think, and you don't have to be an admin. You’ll learn how to proactively save your work (dashboards, reports, data models, MLTK experiments, ITSI glass tables, macros, views, etc.) and audit changes when they occur. You will leave the session knowing how to manage the ever-increasing amount of things you create. You'll also have solutions that can save you time and effort from having to recreate lost/modified objects, including how to restore service faster. You also will come away with peace of mind knowing that you can take control of safeguarding and protecting your work, thereby covering your assets when a disaster happens. Speaker(s) Dustin Marling, Splunk App Developer, Paychex Eric Favreau, Service Health Operations Analyst, Paychex Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1315.pdf?podcast=1577146242 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: Foundations/Platform Level: Good for all skill levels

Can Splunk help eliminate environmental risks and save the company money at the same time? The Alabama Department of Environmental Management (ADEM) sets standards defining the amount of Volatile Organic Compounds (VOCs) that can be safely released. Honda Manufacturing of Alabama (HMA) must adhere to those standards and track our compliance within the parameters set forth by the ADEM. Failure to comply with these standards will result in potentially damaging the environment and large fines. HMA uses a Regenerative Thermal Oven (RTO) to burn off pollutants from our paint department, which is controlled by an Allen Bradley Programmable Logic Controller (PLC). Using this PLC and the sensors built into the RTO, we collect individual chamber temperatures, fan speeds, exhaust temperatures, motor winding temperatures, motor vibrations, and fan vibrations. Using these readings and the Splunk Machine Learning Toolkit we try to predict if the temperature will be within the set range. Speaker(s) Charlie Studdard, Machine Data Analytics, Honda Manufacturing of Alabama Slides PDF link - https://conf.splunk.com/files/2019/slides/IOT1629.pdf?podcast=1577146242 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit, AI/ML Track: Internet of Things Level: Good for all skill levels

Why should running a business feel any different than throwing a party? To demonstrate how Splunk can be used to monitor and manage business operations, the DATA Mavericks team at Acceleris has iteratively perfected its Party Dashboard. It started out as a gimmick at the inauguration party of the company's new headquarters, but now the Party Dashboard demonstrates how Splunk’s dashboarding helps any team get real-time visibility into any operation. Join this session to learn why they chose the relevant metrics, how they collected and fed the data to Splunk, and what meaningful insights were generated as a fun introductory example of using Splunk to get visibility into your business operations. Speaker(s) OJ Stapleton, Data / Tech Master, Data Mavericks by Acceleris Martin Gerber, Crunching Master, Acceleris AG Slides PDF link - https://conf.splunk.com/files/2019/slides/BA1623.pdf?podcast=1577146243 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: Business Analytics Level: Good for all skill levels

“Our IT-powered business processes are too slow.” Does this sound familiar? If so, that is usually the perfect starting point to dig in and start improving them. Unfortunately, specific data that could help with that effort are not available – normally. In this session we will show you how we at Arvato Supply Chain Solutions got the data we needed and used it to improve the collaboration between IT and business. You will learn how we connected different IT systems such as SAP and conveyor line to Splunk Cloud, and how this helped us to analyze business processes with IT Service Intelligence (ITSI). And, as the icing on the cake, we give you a sneak peak of the machine learning algorithm we implemented to continuously improve our business processes. Speaker(s) Ralf Walkenhorst, ITOA Specialist, Splunk Holger Diekhoff, Manager Operational Intelligence, Arvato Supply Chain Solutions Slides PDF link - https://conf.splunk.com/files/2019/slides/BA1512.pdf?podcast=1577146243 Product: Splunk Cloud, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: Business Analytics Level: Beginner

Los Angeles World Airport has chosen Splunk's ITSI as their centralized event/alert management platform. We’ve consolidated alerts/events from multiple management platforms across the enterprise, reducing help desk churn by grouping similar events, and evaluating the results against smart Key Performance Indicator (KPI) thresholds so that only actionable alerts or events are processed. In addition, we’ve broken down the legacy data siloes through the use of service definitions, glass tables, and deep-dives, providing better insight for all team members. Lastly, we’ve automated ITSI service and dependency creation via the Splunk ServiceNow bi-direction integration App. Plan top attend this session and you will learn how we’ve increased visibility (making data available for everyone); increased efficiency by reducing alert/event noise; improved resolution using ITSI Smart KPIs; and implemented auto service creation via ServiceNow Speaker(s) Kelcy Taylor, SLED Account Manager, Splunk Shahla Dallalzadeh, IT Manager, Los Angeles World Airports Michael Friedhoff, Director & Lead Architect, Wipro Ltd. Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1564.pdf?podcast=1577146243 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: IT Operations Level: Good for all skill levels

Splunk is increasingly at the forefront of new approaches to IT Operations, especially in disruptive ‘cloud-native’ businesses. This session will help you understand how ‘New Ops’ techniques like Observability, Site Reliability Engineering, SLOs/SLIs, Error Budgets, ChatOps, and Blameless Post-Mortems can help your IT Ops team; and how you can adopt ‘New Ops’ technologies like Containers, Microservice Architectures, Machine Learning, Orchestration, Predictive Analytics, and AI for IT Ops. Speaker(s) Andi Mann, Chief Technology Advocate, Splunk Endre Peterfi, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1448.pdf?podcast=1577146244 Product: Splunk IT Service Intelligence, Splunk Machine Learning Toolkit, VictorOps Track: IT Operations Level: Intermediate

Are you drowning in a sea of data that expands daily? Overwhelmed by 1000s of events and alarms? Tasked with tracking a dynamic, ever-morphing infrastructure? Expected to resolve requests, incidents, and performance issues in seconds, not days… without adding any more headcount to your team? You’re not alone.Enter Automation, AIOps, and machine learning (ML). It’s finally IT’s turn to harness these powerful technologies to improve operational efficiency, reduce MTTR, eliminate alarm noise, streamline service requests, increase performance without lifting a finger, and tame the beast of IT complexity. Join our session as we explore practical applications for these technologies today and in the future to transform the way you approach IT operations. Get real world examples from other IT professionals and see how you can maximize your investments in Splunk, ITSM, monitoring tools, and more by bringing AI, ML, and automation to the mix.​ Speaker(s) Rob Kelsall, VP, Global Sales Engineering, Resolve Systems Slides PDF link - https://conf.splunk.com/files/2019/slides/ITS2752.pdf?podcast=1577146244 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: IT Operations Level: Good for all skill levels

Are you frustrated with how long a Splunk time series query of your data can take when you need it now, and are you looking to use machine learning to quickly gain insights about your app’s performance? Finding application exceptions or detecting outliers in your performance KPIs too late can lead your business to suffer without the information it needs to make the right decisions in a timely manner. We will show you how we used the metrics index and machine learning capabilities in Splunk to make better alerts, build scheduled performance reports, and ultimately gain deeper insights and make better decisions based on our data. Sharing these insights as a weekly scheduled report helped our team find hidden issues, increase performance awareness, and maintain SLAs around performance KPIs. Additionally, better alerts operationally helped us to detect outliers in performance metrics within minutes after they occur. Join this session to see queries, demos and several examples for you to take back with you and implement this solution at your company. Speaker(s) Eurus Kim, Staff ML Architect, Splunk PJ Pokhrel, Performance Engineer, StubHub Steve Veio, Performance OPS Manager, StubHub Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1171.pdf?podcast=1577146210 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: IT Operations Level: Intermediate

AIOps platforms utilize big data, modern machine learning, and advanced analytics technologies to directly and indirectly enhance IT Operations functions. This session shows how to leverage Splunk IT Service Intelligence (ITSI) and the Machine Learning Toolkit (MLTK) to build a basic, self-learning recommendation engine. Your Operations Center will reap the benefits from having assisted recovery input, but this session does not stop there. It also will show you how to fully automate the recovery. If you have AIOps initiatives on your radar come on and participate in this session Speaker(s) Martin Wiser, ITOA Practitioner, Splunk Pierre Brunel, Staff Sales Engineer, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1119.pdf?podcast=1577146210 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: IT Operations Level: Advanced

Los Angeles World Airport has chosen Splunk's ITSI as their centralized event/alert management platform. We’ve consolidated alerts/events from multiple management platforms across the enterprise, reducing help desk churn by grouping similar events, and evaluating the results against smart Key Performance Indicator (KPI) thresholds so that only actionable alerts or events are processed. In addition, we’ve broken down the legacy data siloes through the use of service definitions, glass tables, and deep-dives, providing better insight for all team members. Lastly, we’ve automated ITSI service and dependency creation via the Splunk ServiceNow bi-direction integration App. Plan top attend this session and you will learn how we’ve increased visibility (making data available for everyone); increased efficiency by reducing alert/event noise; improved resolution using ITSI Smart KPIs; and implemented auto service creation via ServiceNow Speaker(s) Kelcy Taylor, SLED Account Manager, Splunk Shahla Dallalzadeh, IT Manager, Los Angeles World Airports Michael Friedhoff, Director & Lead Architect, Wipro Ltd. Slides PDF link - https://conf.splunk.com/files/2019/slides/IT1564.pdf?podcast=1577146211 Product: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Machine Learning Toolkit Track: IT Operations Level: Good for all skill levels

Tired of relying on static threshold-based alerts that don’t seem to provide much value? Do you typically end up finding outliers in your data by staring at lines on your dashboards? We are told machine learning is going make alerts and dashboards smarter, but how? We will help demystify machine learning and provide a practical guide to apply machine learning techniques for numeric outlier detection, and forecasting to make alerts and dashboards smarter and easier to use for actionable results. We will show you the basics of how you can understand your data, get them ready for machine learning, and get the machine to start working for you! You will leave the session beginning to think like a data scientist and knowing how to apply purpose-driven machine learning to your searches in Splunk! Speaker(s) Eurus Kim, Staff ML Architect, Splunk Amir Malekpour, Principal Software Engineer, Machine Learning, Splunk Slides PDF link - https://conf.splunk.com/files/2019/slides/FN1213.pdf?podcast=1577146203 Product: Splunk Enterprise, Splunk Machine Learning Toolkit, AI/ML Track: Foundations/Platform Level: Intermediate