Strengthening Enterprise Security through Notebook Encryption
By: Intel Corporation View more from Intel Corporation >>
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A Quantitative Comparison Of UPS Monitoring And Servicing Approaches Across Edge Environments
By: Schneider Electric
Type: White Paper
The white paper by EcoCare analyzes different UPS monitoring and servicing approaches for edge environments. It compares managing a fleet of UPSs internally vs outsourcing to a 3rd party. Key factors impacting costs include age distribution, downtime costs, and operational expenses. A tool helps quantify financial differences. Through scenarios, the paper shows outsourcing can provide significant savings, but internal management is better for newer assets. Read the full report to understand the tradeoffs and use the calculator tool to analyze your specific UPS fleet.
These are also closely related to: "Strengthening Enterprise Security through Notebook Encryption"
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Your DCIM ROI calculator: Monitoring and alarming value
By: Schneider Electric
Type: White Paper
The urgent need to remotely monitor critical power and cooling infrastructure with DCIM is, perhaps, obvious to IT Operations teams tasked with maintaining availability of sprawling IT portfolios.
However, calculating an ROI or payback analysis for executives can be difficult to do credibly for software management tools.
In this white paper, discover a framework and a tool for quantifying this value to help justify investment in DCIM monitoring and alarming functions.
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The edge management opportunity for IT solution providers
By: Schneider Electric
Type: Infographic
The report highlights edge computing's rise, offering IT providers new opportunities. Edge computing, placing data and apps near users, improves speed and resilience. Edge management counters potential downtime with remote infrastructure monitoring. EcoStruxure IT helps providers ensure uptime, differentiate services, and increase profits. By 2025, 75% of enterprise data will bypass data centers, with many companies outsourcing edge computing. Providers can capitalize on this by becoming trusted edge management partners, streamlining operations, assuring service continuity, and mitigating risk. For strategies on leveraging edge management, read the full report.
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How KPIs can benefit the management of your data center
By: Colt Data Centre Services
Type: eGuide
This expert eGuide breaks down some of the benefits that using a KPI to measure your data center workload balance, what business relevant aspects to measure, as well as generating periodic reports that show KPI data overtime. Also, review examples of how KPIs can measure your data centers IT infrastructure, transactions and efficiency.
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A New School Of Thought For K-12 IT Backbones
By: Schneider Electric
Type: eBook
Metrigy's analyst report explores how K-12 IT backbones must evolve to support online learning. It profiles common challenges like aging equipment and security risks. Key recommendations: shift to proactive maintenance, elevate physical/cyber security, connect everything for optimization. Read now to benchmark your IT backbone.
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How to institute DevOps with cloud service APIs, IT automation
By: Datera
Type: eGuide
Learn how to overcome IT's top DevOps challenges—including infrastructure automation and the risks cloud service APIs pose. Additionally, you'll gain a developer's perspective on creating agile Docker containers for DevOps, with varied approaches storage vendors take in managing them.
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Essential Guide Balancing Enterprise Mobility and Security
By: Verizon
Type: eGuide
When it comes to mobile security, companies typically apply only one layer of defense and will often forget to set automatic updates, leaving their corporate data vulnerable to attack, increasing the chance of data loss or leakage. . Take a brief survey to tap into this e-guide demonstrating how to properly protect your mobile data.
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How to Hex: Cloud vs. Traditional Notebooks
By:
Type: Video
15min demo & Q&A. Notebooks are the most powerful tools for data science and analytics. But traditional data notebooks like Jupyter weren’t built for the data workflows of 2024. See three big limitations of traditional notebooks, and the specific features of Hex that let you push past them. Recorded live on January 3, 2024.
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5 ways to empower your teams with HP's new AI PCs
By: HPI and Intel
Type: Infographic
Discover how HP's AI-enhanced EliteBook 1000 series laptops can empower your workforce with increased productivity, collaboration, and security. Learn how features like Copilot in Windows and long-lasting battery life can drive efficiency. Read the white paper to explore these benefits.
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5 ways to empower your teams with HP's new AI PCs
By: HPI and Intel
Type: Infographic
Discover how HP's AI-enhanced EliteBook 1000 series laptops can empower your workforce with increased productivity, collaboration, and security. Learn how features like Copilot in Windows and long-lasting battery life can drive efficiency. Read the white paper to explore these benefits.
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Leverage Firm Diversity Data & Insights in Your Investment Analysis
By:
Type: Talk
Many investors see diversity as an opportunity—they see firms with diverse ownership as better long-term investments. Join us on to learn how to incorporate firm diversity data into your investment analysis through Morningstar Notebooks in Direct. Morningstar collects firm-level diversity data to help you understand firm diversity policies and practices to get an edge on who is going to outperform on talent. Whether you are just starting your planning process or looking to enhance your DEI strategy, learn how you can also participate in this database and add transparency to your firm’s diversity initiatives. Now, we are surfacing this data and analytics in Morningstar Notebooks, where users can easily access and leverage this data and insights in real time. Notebooks offers an easy and efficient way to analyze data and develop new and meaningful insights. Presented by: Jeff Sandell, Senior Product Manager Duration: 30 minutes
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MicroScope – May 2020: Staying connected
By: MicroScope
Type: Ezine
In this issue, read about how the channel is helping customers stay connected during the pandemic, with Covid-19 raising hardware as businesses aim to provide technology for home workers. Also discover the benefits of SD-WAN and learn about the top compliance concerns for the coming year
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The Big Book of Machine Learning Use Cases – 2nd Edition
By: DataBricks
Type: eBook
This E-book contains a collection of technical blogs, including code samples and notebooks, designed to equip you with practical machine learning use cases you can put to work right now. Read on to gain insights from industry thought leaders and learn how you can leverage machine learning to bring your business into the future.
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[EMEA] Supercharging LogRhythm: Using Jupyter Notebook to enhance threat hunting
By:
Type: Talk
Having a well-run, foundational SIEM for your security posture is a fantastic goal for most organisations, however that shouldn’t be where the drive to improve organisational security stops. In this on-demand webinar Jake Anthony, Enterprise Sales Engineer, LogRhythm, looks at how combining Open Source technologies such as Jupyter Notebook can enhance your security posture through optimisation and integration with the LogRhythm NextGen SIEM Platform. Watch to discover: • LogRhythm & Open Source • What is Jupyter Notebook • How you can leverage it in your environment o Streamline MITRE ATT&CK tag creation o Expand visualisation capabilities o Enhance threat hunting playbooks
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[APAC] Supercharging LogRhythm: Using Jupyter Notebook to enhance threat hunting
By:
Type: Replay
Having a well-run, foundational SIEM for your security posture is a fantastic goal for most organisations, however that shouldn’t be where the drive to improve organisational security stops. In this on-demand webinar Jake Anthony, Enterprise Sales Engineer, LogRhythm, looks at how combining Open Source technologies such as Jupyter Notebook can enhance your security posture through optimisation and integration with the LogRhythm NextGen SIEM Platform. Watch to discover: • LogRhythm & Open Source • What is Jupyter Notebook • How you can leverage it in your environment o Streamline MITRE ATT&CK tag creation o Expand visualisation capabilities o Enhance threat hunting playbooks
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Supercharging LogRhythm: Using Jupyter Notebook to enhance threat hunting
By:
Type: Replay
Having a well-run, foundational SIEM for your security posture is a fantastic goal for most organizations, however that shouldn’t be where the drive to improve organizational security stops. In this webinar replay, Jake Anthony, Enterprise Sales Engineer, LogRhythm, looked at how combining Open Source technologies such as Jupyter Notebook can enhance your security posture through optimization and integration with the LogRhythm NextGen SIEM Platform. Watch on-demand to discover: • LogRhythm & Open Source • What is Jupyter Notebook • How you can leverage it in your environment to: o Streamline MITRE ATT&CK tag creation o Expand visualisation capabilities o Enhance threat hunting playbooks
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kdb Microservices for Ultra-High Velocities on a Postage Stamp Footprint
By:
Type: Video
Using Python, and perhaps Pandas? This webinar explains how you can provide production data workloads to your Python code and Jupyter Notebooks, adding 8x to 100x more data power to your models and reducing the time needed to take research into production. This webinar explores how to: • build a data ingestion pipeline • dramatically transform Python time series workflows and analytics (asof joins; xbar for time series formatting) • augment and improve your data science in Jupyter Notebook using KX's Python Interface Watch this webinar to see a demonstration of a computational finance workflow and to understand the same rigor and capabilities that can be deployed to any use case that utilizes Python and highly granular and high-frequency datasets.
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Transparency in ESG: addressing common challenges
By:
Type: Talk
The challenge for investors surrounds the reliability, timeliness, coverage, and transparency of ESG data, as well as the lack of correlation among ESG ratings. RepRisk provides a unique approach to address these pitfalls and is the first ESG data firm that made its rules-based, transparent methodology available to the world. During this webinar, we will discuss RepRisk’s methodology, as well as Jupyter notebooks and their use cases. Featuring: Alexandra Mihailescu Cichon, Executive Vice President Sales & Marketing, RepRisk Dr. Heiko Bailer, Head of ESG Quantitative Investments, RepRisk Dimitri Huwyler, Head Quantitative Solutions, SIM Global Advantage AG You will learn: Why transparency of ESG data is key for the industry What are Jupyter notebooks and how they can be integrated into the investment process How to customize your own ESG scores and build custom portfolios through use cases
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People ❤️ Password Notebooks
By:
Type: Video
For three years running, the most popular way people say they keep track of their passwords is by writing them down in a password notebook, according to the National Cybersecurity Alliance's annual Oh Behave! Cybersecurity Attitudes and Behaviors Report. We'll talk about those findings and more gleaned from surveying the public in the US, UK, Canada, Germany, France, and New Zealand.
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Transform your troubleshooting journey with Lightstep
By:
Type: Replay
Lightstep Notebooks addresses the needs that arise throughout the course of a team’s troubleshooting journey by providing granular, context-specific data and facilitating the ability to collaborate to resolve issues in real-time. In this session, you will learn how your organization can take full advantage of these new features to run ad-hoc queries while investigating an incident allowing any developer, operator, or SRE to see which parts of the system are correlated and how they are related - in context. • Reduce MTTR by generating telemetry-agnostic insights via unified querying capabilities, powerful visualizations, and automatic correlations • Improve your postmortems with granular, context-specific data • From a Notebook, you can easily see supporting evidence for a correlation and understand how your SLIs have deviated for each correlation to then share and collaborate across teams Speakers: Rakesh Patel, Senior Staff Product Manager, Lightstep Andrew Gardner, Product Marketing, Lightstep
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Operationalizing Large Language Models
By:
Type: Video
Effectively managing and scaling multiple Large Language Model (LLM) applications demands more than a mere notebook approach. Join us as we navigate through the often-overlooked facets of operationalizing LLMs. This session will guide you through the complete journey, spanning from the initial stages to deployment, while emphasizing the crucial aspects of ongoing maintenance and monitoring.
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Take Your Fund Analysis to the Next Level
By:
Type: Talk
Have you ever toiled away your precious time pulling historical holdings of multiple funds? Have you ever imagined performing holdings look-through for all of your custom portfolios with one click? Then you are in luck! Analytics Lab is a Morningstar Direct module that lets users create customized analytics with the Python programming language. In this discussion, we will explore how Analytics Lab can help you navigate multiple layers of data extraction with ease and perform deep-dive portfolio analysis with a few simple steps. We have solutions not only for those who don’t know any coding but also for python experts, so please join us to learn how to scale your workflows and improve efficiencies for you and your teams. Join Morningstar’s Janet Chang, CFA, Senior Product Manager for Asia, and Sara Otterbeck, Senior Product Manager for Analytics Lab, to discuss: • How to take your analysis to the next level with prebuilt Morningstar Notebooks • How to build customized notebooks leveraging both Morningstar and proprietary dataset Explore the tools your peers are using to scale data and analytics and modernize your workflow with the power of analytics.
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Analyzing the Constant Compression of Fund Fees
By:
Type: Talk
Fund fees have continued their dramatic decline for a variety of reasons. Join us for this focused webinar to learn about fee compression, investment trends, and what it may mean for asset managers in the future. In this webinar we will: - Expose trends in fund fees paid by investors - Examine the changing shape of advice - Explore fee competition among the largest asset managers - Demonstrate the analysis process using the US Fund Fee Trends Notebook in Direct
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Analyzing the Constant Compression of Fund Fees
By:
Type: Talk
Fund fees have continued their dramatic decline for a variety of reasons. Join us for this focused webinar to learn about fee compression, investment trends, and what it may mean for asset managers in the future. In this webinar we will: - Expose trends in fund fees paid by investors - Examine the changing shape of advice - Explore fee competition among the largest asset managers - Demonstrate the analysis process using the US Fund Fee Trends Notebook in Direct
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The Evolution of the Thematic Funds Landscape - European View
By:
Type: Talk
Thematic funds became increasingly popular with the onset of the coronavirus, with many posting eye-catching returns over the period. These investment vehicles attempt to harness various secular growth themes, from energy transition to connectivity to artificial intelligence to cannabis to disruptive healthcare technologies. Join Morningstar's Kenneth Lamont and Romir Agarwal to discuss the evolving landscape of Thematic Funds as well as a live demo of the Thematic Analyzer - Funds Notebook in Morningstar Direct.
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The Evolution of the Thematic Funds Landscape – North American View
By:
Type: Talk
Thematic funds became increasingly popular with the onset of the coronavirus, with many posting eye-catching returns over the period. These investment vehicles attempt to harness various secular growth themes, from energy transition to connectivity to artificial intelligence to cannabis to disruptive healthcare technologies. Join Morningstar's Kenneth Lamont and Tom Nations to discuss the evolving landscape of Thematic Funds as well as a live demo of the Thematic Analyzer - Funds Notebook in Morningstar Direct.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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AI Starter Kit: Using Composition of Experts Models with Langchain
By:
Type: Replay
A walkthrough of our AI Starter Kit available on GitHub using Composition of Experts (CoE) models with Langchain. The repository provides a Python script and a Jupyter Notebook that demonstrate how to call SambaNova CoE models using the Langchain framework. The script offers different approaches for calling CoE models, including using SambaStudio with a named expert or routing and Sambaverse - a free tool where you can discover, compare and evaluate the best open source models.
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Discover Notebooks in Morningstar Direct
By:
Type: Talk
To succeed in the financial services industry, you need to transform vast amounts of data into actionable insights every day, which can be challenging and time consuming. Our newest Direct workspace centralizes data, analytics, and visualisation so you can automate processes that were previously cumbersome or impossible to accomplish. Register to learn how Notebooks can help you: • Easily experiment with new research ideas • Respond quickly to market trends • Bring transparency to methodologies • Achieve scale + efficiency • Bring your data to life with our reporting solutions
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Discover Notebooks in Morningstar Direct
By:
Type: Talk
To succeed in the financial services industry, you need to transform vast amounts of data into actionable insights every day, which can be challenging and time consuming. Our newest Direct workspace centralizes data, analytics, and visualisation so you can automate processes that were previously cumbersome or impossible to accomplish. Register to learn how Notebooks can help you: • Easily experiment with new research ideas • Respond quickly to market trends • Bring transparency to methodologies • Achieve scale + efficiency • Bring your data to life with our reporting solutions
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Discover Notebooks in Morningstar Direct
By:
Type: Talk
To succeed in the financial services industry, you need to transform vast amounts of data into actionable insights every day, which can be challenging and time consuming. Our newest Direct workspace centralizes data, analytics, and visualisation so you can automate processes that were previously cumbersome or impossible to accomplish. Register to learn how Notebooks can help you: • Easily experiment with new research ideas • Respond quickly to market trends • Bring transparency to methodologies • Achieve scale + efficiency • Bring your data to life with our reporting solutions
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Indiv. Portfolioanalyse und -optimierung sowie Datenaggregierung leicht gemacht
By:
Type: Talk
in diesem deutschsprachigen Webinar möchten wir Ihnen Analytics Lab und Direct Lens vorstellen: zwei Features in unserem Flagschiff-Produkt Direct, die Ihren Workflow signifikant optimieren können. Was ist Direct Lens? Morningstar Lens macht die Arbeit mit Ihren Portfolios in Morningstar Direct nun noch effizienter. Die Bündelung aller Portfolio-Funktionen gepaart mit einer modernen intuitiven Benutzeroberfläche, macht es Lens-Nutzern nun noch einfacher Portfolios zu erstellen, zu bearbeiten und zu analysieren – alles an einem Ort. Sie können die Auswirkungen von Beständen in ihren Portfolios leicht aufschlüsseln und dabei auch auf die ESG-Plattform von Sustainalytics und Aktien-Daten zugreifen. Was ist Analytics Lab? Analytics Lab ist ein Modul in Morningstar Direct, das es Ihnen ermöglicht, das breite Datenuniversum von Morningstar noch tiefer als je zuvor zu analysieren und für ihre Bedürfnisse zu optimieren. Um das zu erreichen, kombiniert die Analytics Lab Plattform den Zugang zu allen Morningstar Daten und Research mit den flexiblen Möglichkeiten von Jupyter Notebooks. Dadurch erhalten Nutzer nicht nur Zugang zu standardisierten Analyse-Notebooks, sondern auch den Zugriff auf die kompletten quantitativen Analysemöglichkeiten innerhalb einer der beliebtesten Programmierumgebungen für z.B. Quant-Einheiten. Die Plattform ermöglicht sowohl das Nutzen bestehender als auch das Erstellen benutzerdefinierter Notebooks (mit der Programmiersprache Python). Die tiefgehenden Analysen lassen sich mit Grafiken, Research-Berichten sowie weitere Dokumentationen anreichern und leicht mit anderen im Unternehmen teilen.
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Global Banking Failures: How to Screen, Analyze, and Model Portfolio Exposure
By:
Type: Talk
In the wake of the rapid deterioration of several banks, including Silicon Valley Bank and Credit Suisse, many institutional investors are looking to better understand how they are positioned to navigate the current market environment. Join us for an inside look at Morningstar Direct’s in-depth investment analysis capabilities. Dive deeper into the data you need to tell your story and set yourself apart from your peers. This webinar will uncover key takeaways you can discover with our Security Ownership Analysis Notebook, Advanced Risk Modeling Capabilities and how you can screen for particular portfolio holdings or risk factors.
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Optimisez votre analyse des fonds avec Morningstar
By:
Type: Talk
Rejoignez-nous pour un webinaire en direct le jeudi 3 février à 11h00 pour comprendre comment nous pouvons vous aider à analyser plus efficacement des investissements. Pour prospérer dans le secteur des services financiers, vous devez transformer chaque jour de grandes quantités de données en informations exploitables, ce qui peut s’avérer complexe et chronophage. Notebooks, notre nouvel outil disponible dans Morningstar Direct, vous permet de centraliser et de visualiser les données et les analyses afin que vous puissiez automatiser des processus auparavant fastidieux voire impossibles à réaliser. Inscrivez-vous pour découvrir comment Notebooks peut vous aider à : - expérimenter facilement de nouvelles idées de recherche ; - réagir rapidement aux tendances du marché ; - apporter de la transparence aux méthodologies ; - atteindre une taille critique et accroître votre rentabilité ; - donner vie à vos données grâce à nos solutions de reporting.
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Altair RapidMiner Demonstration
By:
Type: Video
Welcome to this demonstration video of the Altair RapidMiner platform, our end-to-end AI solution for all users in your enterprise. Altair RapidMiner is a platform in which data science, machine learning, AI and traditional data analytics converge. There are close connections to Altair's other two platforms for simulation and high-performance computing. But today's demonstration will mainly focus on Altair RapidMiner. Agenda: - Planning and Design - Data Preparation - Data Exploration and Visualization - Data Science Techniques and Machine Learning - Generative AI - Notebooks and IDEs - Model Consumption - Project Progress - Key Take Aways
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Discover Notebooks: Advanced investment analysis for accelerating your research
By:
Type: Talk
To succeed in the financial services industry, you need to transform vast amounts of data into actionable insights every day, which can be challenging and time consuming. Our newest Direct workspace centralizes data, analytics, and visualization so you can automate processes that were previously cumbersome or impossible to accomplish. Register to learn how Notebooks can help you: - Easily experiment with new research ideas - Respond quickly to market trends - Bring transparency to methodologies - Achieve scale + efficiency Timothy Strauts is the Head of Research and Content for Morningstar Direct. He acts as the bridge between Morningstar’s research organization and the Direct product. In his role he leads the effort to integrate new data, research, and analytics into Direct. Prior to his current role, he was a Director of Quantitative Research where he led the U.S. analyst team. Tim has also held roles as a manager on the Markets Research team and a Senior Fund Analyst in Manager Research. Prior to joining Morningstar in 2010, he was a financial advisor for Smith Barney. Tim holds a master’s degree in business administration from the University of Chicago Booth School of Business and a bachelor’s degree in economics from the University of Illinois at Urbana-Champaign. Phil Nagel is a senior product manager for Morningstar Direct. He specializes in manager research and the portfolio analysis capabilities in the software. He focuses on new product development as well as client support for Morningstar’s notebook offering. Phil partners with clients to perform in-depth holdings-based analysis for their portfolios. He also is experienced with the performance attribution capabilities used within Direct. Nagel holds a bachelor’s degree in finance from the University of Nebraska.
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Investment Analysis with Python: Explore Morningstar’s Source Code
By:
Type: Talk
Unlock the power of Morningstar's quantitative analysis by diving into the very code that drives our investment insights. For the first time, we're revealing the source code behind three pivotal Interactive Research notebooks: Fantastic Funds, Portfolio Diversification Score, and U.S. Fund Fee Trends. This webinar will demonstrate how access to this code can elevate your investment strategies, allowing you to customize analyses and uncover deeper insights. Whether you're aiming to refine your quantitative skills or enhance your portfolio analysis, this session offers concrete ways to leverage our tools. Webinar Speakers: - Tom Nations, Director of Research Products, Morningstar, Inc. - Sara Otterbeck, Senior Product Manager, Direct Analytics Lab, Morningstar, Inc.
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Vertica и машинное обучение в масштабе
By:
Type: Video
Специалист по машинному обучению в Vertica Бадр Ули демонстрирует возможности функций машинного обучения Vertica в базе данных, функционирующие на инфраструктуре корпоративного уровня, для достижения быстрой и хорошо масштабируемой аналитики. Система управления ресурсами Vertica облегчает одновременную работу пользователей с возможностью изоляции пользовательской среды с применением привычного SQL-синтаксиса. Бадр демонстрирует, как работать с алгоритмами машинного обучения через SQL, и представляет возможности новой библиотеки VerticaPy для использования Vertica в аналитике на Python и Juniper Notebook.
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How to Gauge Project Feasibility using Code-First Data Science
By:
Type: Replay
For many Data Scientists, writing code to explore, transform, and visualize data is an essential part of getting value from data. Hear more about DataRobot’s AI Cloud tools for code-first Data Scientists and developers from Chief AI Strategist, Ben Taylor and watch how you can put it into practice with some short demos. You’ll learn about: Companies using code-based tools to get more value from data and models Leveraging unlimited compute power and storage with a notebook platform Streamlining data exploration and visualization with DataRobot AI Cloud Don't miss out on hearing our experts talk about DataRobot’s AI Cloud, a unified environment optimized across the entire AI lifecycle from data to value.
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The Evolving Era of Thematic Investing – North America View
By:
Type: Talk
The thematic fund market has rapidly developed in recent years. These funds attempt to harness secular growth themes ranging from artificial intelligence to Generation Z. Some have delivered phenomenal performance, while others have been duds. Over the last two years, asset managers have ramped up the supply of these niche and often gimmicky funds, increasing investor demand for clarity and guidance. Join us to discuss: - The latest thematic fund research and performance - Key trends in the global thematic fund landscape - How to access thematic fund data Morningstar Speakers: Abhijay Gupta is quantitative analyst at Morningstar and works on building client facing research notebooks that leverage quant models and use interactive front end components to visualize and provide differential granularity of financial data enabling deeper analysis. Daniel Sotiroff is a senior manager research analyst for Morningstar Research Services LLC, a wholly owned subsidiary of Morningstar, Inc. He covers passive strategies. Kenneth Lamont is a senior fund analyst for Morningstar. Specializing in index strategies Kenneth covers the European passive funds and has published widely on the topics of sustainable and thematic investments. Recent publications include The Global Thematic Fund Landscape 2022. Phil Nagel is a senior product manager for Morningstar Direct. He specializes in manager research and the portfolio analysis capabilities in the software. He focuses on new product development as well as client support for Morningstar’s notebook offering. Phil partners with clients to perform in-depth holdings based analysis for their portfolios. He also is experienced with the performance attribution capabilities used within Direct.
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The Evolution of the Thematic Funds Landscape
By:
Type: Talk
Despite a global decline in thematic fund assets since their peak in early 2022, these funds remain pivotal for investors, comprising 6-7% of all equity fund assets. In markets like India, where thematic fund assets have more than doubled, there are significant opportunities to gain early insights and context. Whereas in Europe, thematic funds have experienced significant outflows from late 2023. This webinar will provide a comprehensive overview of the thematic investing landscape, showcasing our global thematic fund classification system and dataset. We will cover: - An introduction to thematic funds and our classification system - Global and regional trends in thematic investing - Key insights from the 2024 Thematic Landscape report - A demo of the Thematic Funds Notebook in Morningstar Direct
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Balancing Risk, Return & Preferences: Portfolio Optimization with Factor Models
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Type: Talk
Portfolio optimization is a critical challenge in asset management, demanding a fine balance between risk, return, and investor preferences. In this webinar, we'll explore: - The common challenges in portfolio construction and optimization - How to use mean variance optimization and factor-based optimization to enhance your portfolios - Relevant Jupyter Notebooks you can leverage for portfolio optimization - Practical demonstration of how Morningstar's Analytics Lab facilitates efficient model building and backtesting Join us for an insightful exploration into portfolio optimization, tailored directly for data scientists and quant analysts. Discover how to leverage Morningstar’s advanced tools to refine your investment strategies and meet the dynamic needs of today’s market. Webinar Speakers: Kumar Neelotpal Shukla, Associate Director of Quantitative Research, Morningstar, Inc. Sara Otterbeck, Senior Product Manager, Direct Analytics Lab, Morningstar, Inc.
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Creating New Efficiencies in Data Access and Analysis with Morningstar Direct
By:
Type: Talk
In today’s competitive investing landscape, quick access to the data you need, in the format you need it is more important than ever. Morningstar Direct allows users to spend less time on finding and setting up data access and more time on analysis and innovation by offering seamless access to quality data paired with analytical tools designed for advanced analysis. Join Petar Draganov, Senior Customer Success Manager for Morningstar Direct and Sara Otterbeck, Senior Product Manager for Analytics Lab, to discuss: The newest ways you can access data in Morningstar Direct, including Analytics Lab, the morningstar_data Python package, and self-service data feeds. Explore the tools your peers are using to scale data and analytics and modernise your workflow with the power of analytics. How to build customised notebooks leveraging both Morningstar and proprietary datasets.
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How ISVs can accelerate Gen AI adoption with BigQuery
By: Google
Type: Replay
New advancements in Gen AI can help ISVs unlock new revenue streams, personalized experiences, cost savings and more. To help you build a strong data foundation and accelerate your path to Gen AI adoption, Google Cloud brings the approach of organizing world’s information and making it universally accessible and useful to your organization. Google’s data and AI Cloud is built with and for AI, so that you can get to use the latest tools for training, tuning, and deploying your choice of AI models. Join this webinar to hear from the BigQuery Product Management team how the 1,000+ software partners whose solutions are built with BigQuery can leverage the latest AI/ML features to rapidly deliver GenAI experiences. You’ll learn: -How to apply Google’s foundational AI models to your data right inside BigQuery -How BigQuery Studio, which includes a new notebook experience, can accelerate data and AI workflows from data ingestion and preparation to analysis, exploration, and visualization — all the way to ML training and inference -How to generate and store text embeddings using SQL commands
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How ISVs can accelerate Gen AI adoption with BigQuery
By:
Type: Replay
New advancements in Gen AI can help ISVs unlock new revenue streams, personalized experiences, cost savings and more. To help you build a strong data foundation and accelerate your path to Gen AI adoption, Google Cloud brings the approach of organizing world’s information and making it universally accessible and useful to your organization. Google’s data and AI Cloud is built with and for AI, so that you can get to use the latest tools for training, tuning, and deploying your choice of AI models. Join this webinar to hear from the BigQuery Product Management team how the 1,000+ software partners whose solutions are built with BigQuery can leverage the latest AI/ML features to rapidly deliver Gen AI experiences. You’ll learn: - How to apply Google’s foundational AI models to your data right inside BigQuery - How BigQuery Studio, which includes a new notebook experience, can accelerate data and AI workflows from data ingestion and preparation to analysis, exploration, and visualization — all the way to ML training and inference - How to generate and store text embeddings using SQL commands
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Advanced Analytics and Machine Learning with Data Virtualization
By:
Type: Talk
Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Data Science platforms have become more approachable and user friendly. With all the advancements in the technology space, the Data Scientist is still spending most of the time massaging and manipulating the data into a usable data asset. How can we empower the data scientist? How can we make data more accessible, and foster a data sharing culture? Join us, and we will show you how Data Virtualization can do just that, with an agile and AI/ML laced data management platform. It can empower your organization, foster a data sharing culture, and simplify the life of the data scientist. Attend this webinar to learn: * How data virtualization simplifies the life of the data scientist, by overcoming data access and manipulation hurdles. * How integrated Denodo Data Science notebook provides for a unified environment * How Denodo uses AI/ML internally to drive the value of the data and expose insights * How customers have used Data Virtualization in their Data Science initiatives.
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Denodo’s Data Catalog: Accelerate AI/ML Modeling with Faster Access to Datasets
By:
Type: Talk
Data Scientists spend most of their time looking for the right data and massaging it into a usable format. How can the Denodo platform enable the data scientist and data engineer? Join us as we explore and demonstrate how the Denodo 8.0 Data Catalog can help the data scientist and data engineers to find the relevant datasets quickly by using any metadata information and also using the respective categories and tags. Explore how the data catalog provides more information on the dataset allowing to define the descriptions for the views and fields, showing the associations with other datasets and also the lineage of the datasets. Discover how the Denodo data catalog enables Data Scientists to obtain the data using JDBC/ODBC methods from popular languages like Python/R with their tools of choice such as Zeppelin or Jupyter. Attend this webinar to learn: ● How to explore datasets available using Denodo Data Catalog ●How to categorize datasets in Denodo Data Catalog ●How to find the relationships between datasets, and the lineage in a business friendly way ● How to connect to Denodo using popular notebooks ● How customers have used Data Virtualization in their Data Science initiatives
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Build Next-Gen, Portable, Power-Efficient AI on an AI PC
By:
Type: Video
What is an AI PC and how do developers exploit its AI acceleration capabilities across its included CPU, GPU, and NPU? This session delivers answers and unpacks fundamental and advanced techniques for tapping into the ever-expanding potential of AI using the OpenVINO™ toolkit on the AI PC. Watch a discussion on: An overview of an AI PC. Approaches for making current-state and next-generation AI and generative AI (GenAI) models more performant and power efficient. Reasons to consider running AI and GenAI models on client and edge devices and tips on low-power implementations. Techniques for optimizing and deploying AI applications on different AI PC compute engines using the OpenVINO toolkit. How to access and use the OpenVINO™ notebook repository with an overview of its functionalities and applications. Demos showcase how to seamlessly transition AI and GenAI apps across compute engines using OpenVINO toolkit for popular use cases, such as background blurring on video calls, object detection, and GenAI-powered image generation and chatbots. Skill level: All
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Why and what is the future of the topological qubit?
By:
Type: Video
Join us to explore why Microsoft decided to design its quantum machine with topological qubits – an approach that is both more challenging and more promising than others – and what’s next for Microsoft’s hardware ambitions. This episode is based on Microsoft’s physics breakthrough outlined in Dr. Nayak’s recent paper and will focus on the physics behind the topological qubit. Learn about topological phases in physics and how they are applied to quantum computing. Explore how topological properties create a level of protection that can, in principle, help a qubit retain quantum information despite what’s happening in the environment around it. Understand the role of the topological gap and the recently discovered Majorana zero modes, and how together they impact a topological qubit’s stability, size, and speed. Learn how to examine the raw data and analysis from Microsoft’s hardware research on Azure Quantum. Use interactive Jupyter notebooks and explore what’s next in engineering the world’s first topological qubit. Participate in live Q&A chat with the Azure Quantum Team and be one of the first to hear about recent advancements.
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Arquitectura de Data Fabric: Clave en proyectos de Big Data y Machine Learning
By:
Type: Video
Los proyectos de Big Data y Machine Learning en muchos casos no logran los beneficios esperados y los lagos de datos se convierten en nuevos silos de datos que aportan poco valor a negocio. Las arquitecturas de Data Fabric vienen a facilitar el ciclo de vida de las iniciativas de Big Data y Machine Learning: • Exploración e identificación de datos relevantes para el análisis mediante el Catálogo de Datos • Preparación de los datos para alimentar los algoritmos de ML (con total trazabilidad de las combinaciones y transformaciones realizadas) • Parametrización del algoritmo, tuning y adiestramiento mediante data science notebooks conectados a la capa de virtualización • Operacionalización del algoritmo como un servicio de datos para usuarios de negocio • Ofrecen una capa de gobierno y seguridad sobre las fuentes de datos