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2021 AI Trends: Driving Agility and Efficiency in the Enterprise

This non-technical webinar will go in-depth on the trends that will continue to dominate Enterprise AI, particularly when it comes to organizational changes in businesses.
Recorded Jul 14 2021 59 mins
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Presented by
Conor Jensen, Director of AI Consulting at Dataiku
Presentation preview: 2021 AI Trends: Driving Agility and Efficiency in the Enterprise

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  • Financial Modeling in Dataiku Recorded: Jul 28 2021 44 mins
    Suresh Vadakath, Solutions Engineer @ Dataiku; Kevin Graham, Account Executive @ Dataiku
    Dataiku is an end-to-end collaborative data science platform and its pipeline graph framework allows users to design and manage any calculation, from the most basic to complex. This visual, intuitive interface enables easy analysis and management of the intricacies involved in financial calculations.

    In this webinar, we’ll present a few standard modeling techniques in finance that you would typically do in Excel. In that sense, this is a financial modeling cooking show using Dataiku. Like any cooking show, it gives recipes as the starting point — you can then use this template in the future to produce results that suit your unique taste and needs.

    What you will learn:

    • How Dataiku mitigates the known limitations in Excel and similar tools
    • How shortcuts and formulaic expressions in Excel can be easily replicated and optimized in Dataiku using Dataiku plugins
    • An example of a financial statement simulation and automation
    • Package a Dataiku Flow into a Dataiku App for broader audience consumption
  • Boosting Online Sales & Customer Experience Recorded: Jul 28 2021 62 mins
    Rata Jacquemart, Project Leader, AI Consulting, Dataiku, Benoit Rojare, Business Solutions Manager - Retail & CPG, Dataiku
    As Darwin said, “It is not the strongest of the species that survives, nor the most intelligent; it is the one most adaptable to change.”

    It's vital for Retail & CPG industries to adapt to rapidly changing consumer demands in challenging and ever-changing environments. So, join us for our new virtual series highlighting the use cases capable of boosting your business in the present, and in the near, post-Covid, future!

    For our second edition; Website optimization, we will guide you on how to improve not only your sales performance from your online channel but also how to be closer to your customers by personalizing their online experience with your brand.

    Speaker Bio: Rata Jacquemart is a data science project leader at Dataiku, helping customers in various industries building real & measurable business impacts with data science. She holds a PhD in Robotics & applied Mathematics. Before joining Dataiku, she was a data scientist for multiple top companies as the Boston Consulting Group (BCG GAMMA), fifty-five, and Telenor where she specialized in retail/ e-commerce, CPG, and Telco industries. Before starting her data science journey, she was a researcher in robotics and remote sensing leading projects in using satellite data for Agriculture and Meteorology applications.

    Speaker Bio: Benoit Rojare is a business solutions manager at Dataiku, for the retail and CPG industries, helping clients to seize the data opportunity with data and AI.
    Before joining Dataiku, he worked for fifty-five where he specialized in data marketing for the luxury and CPG industries and was managing a team of data consultants.
    Benoît holds an engineering degree and an advanced master's in business.
  • Lessons from the frontlines with IDC: AI Practices That Deliver Results Recorded: Jul 28 2021 51 mins
    Chris Dr. Chris Marshall, IDC and Richard Jones, VP and GM, APAC at Dataiku
    Exclusive with IDC

    Since the release of the 2020 IDC InfoBrief and with the release of the 2021 edition, we have seen nearly twice as many companies starting their AI journey. Plus, those that had already started are showing more AI maturity, experimenting less and executing more repeatedly and in a more coordinated way.

    Despite rising demand, AI projects remain difficult to execute.

    In this webinar, we will investigate the latest trends as well as the different strategies enterprises adopt toward AI, when they work and when they don't.

    During this exchange, Dr. Chris Marshall, VP Big Data, Analytics & AI at IDC, will review regional patterns in deploying AI while Richard Jones, General manager APAC at Dataiku, will discuss the challenges facing organizations when deploying their AI solutions.

    Bring your questions because we will be LIVE and make sure you are registered.
  • How Carta Uses Data Science to Study the Inequities in Equity Recorded: Jul 27 2021 45 mins
    Erin Boehmer (Senior Machine Learning Engineer @ Carta)
    Talk Abstract:

    Carta is a Silicon Valley unicorn valued at $6.9B on a mission to help companies and investors manage equity ownership. In other words, Carta is mapping one of the world’s most valuable proprietary datasets: the ownership graph showing who gets rich when private equity becomes liquid. Equity is the largest lever for wealth creation in Silicon Valley and beyond; we believe it should be distributed equitably.

    In 2018, Carta partnered with one of Silicon Valley’s top investment collectives, #ANGELS, after they hypothesized the gender equity gap was worse than the salary gap. Carta has since committed to publishing a yearly study on the state of diversity on cap tables in an initiative known as Table Stakes. Join Erin Boehmer, the lead Data Scientist for the Table Stakes study, to learn about #TheGapTable and how she is taking a highly visible analysis from 0 to 1.


    Speaker Bio:

    Erin Boehmer is a Senior Machine Learning Engineer at Carta where she leads the development of platform data and ML products. She began her career with an MS in Data Science from UC Berkeley and BS degrees in Computer Science and Systems Engineering from the University of Virginia. Erin loves sampling (with replacement) from the vast buffet of data science problem spaces. Her experience includes building credit scoring models from solar kit data with Fenix Intl in Uganda, visualizing sensor networks with the Air Force, and monitoring state-level Covid data quality to ensure government accountability with the Covid Tracking Project. As much as Erin loves data and coding, she’s a big proponent of “work hard, play hard” and can often be found white water kayaking, rock climbing, sailing, or exhibiting self-control in the aisles of REI.


    Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.
  • Revamping Customer Segmentation with AI (feat. Snowflake, Dataiku, and Aptitive) Recorded: Jul 27 2021 48 mins
    Ryan Lewis @ Aptitive, Peter Pham @ Dataiku, & Frank Pacione @ Snowflake
    Targeting the right customer at the right time is one of the most efficient ways to optimize marketing campaigns - but 55% of marketers don’t feel they have sufficient customer data to implement effective personalization (Evergage, Inc.) While marketing teams increasingly adopt ML into their practices, their efforts often struggle due to multiple data sources, finding the right data, and building scalable machine learning models.

    Attend this joint webinar with Snowflake, Aptitive, and Dataiku to dive into the top challenges for tackling customer segmentation models, and how to solve them. We’ll showcase best practices to enrich your data, as well as how to prep, clean, create, and refine a machine model with Java UDFs for more effective customer targeting.

    Agenda:
    - 15 min: 4 Common Customer Segmentation Challenges that Can be Solved by Data Science with Ryan Lewis, Data Science Consultant at Aptitive
    - 20 min: Enriching Customer Data using the Snowflake Marketplace with Frank Pacione, Partner Engineer at Snowflake
    - 25 min: Demo: Building an AI-first Approach to Customer Segmentation with Peter Pham, Solutions Engineer at Dataiku
  • How Becoming AI-Driven Helps Fend off Disruption from Big Tech and Startups Recorded: Jul 27 2021 41 mins
    Ian Wilson, Former Global Head of Artificial Intelligence at HSBC
    Ian Wilson, former Global Head of AI at HSBC, will share 25 years of lessons on how enterprise boards and executive leadership teams can transform their organizations in order to fend off disruption from traditional competitors, Big Tech, and new entrants into their market.

    Ian Wilson is the former Global Head of Artificial Intelligence at HSBC. Prior to this role, Ian developed significant leadership experience as a board advisor, founder, CEO, and executive director from startups and scale-ups to major global organizations. His journey through the industry has taken him across three continents, from military AI to AI product companies startups and eventually to defining enterprise AI strategy and operating models for Global organizations. Ian has deep knowledge and experience of building AI Centers of Excellence, delivering large scale production-grade enterprise AI solutions, and making AI transformation clear and understandable to all levels of business. He is a speaker at global events and a video content author on enterprise AI transformation. Ian lives in Cambridge with his family, enjoys travel and the outdoors and speaks rusty but fluent Japanese.

    Presented by: Productive AI LLC
  • Dataiku and AWS: Delivering Enterprise AI at Scale Recorded: Jul 22 2021 51 mins
    Michael Ernest, Director of Solution Architecture at Dataiku
    In this demo we'll walk through a DSS project that features a variety of integrations with the AWS platform as well as several key services. The demonstration will highlight key performance benefits built into DSS when operating in the AWS environment, and integrations with AWS services, including Redshift, EMR, and EKS.
  • A Conversation on Data Science and Artificial Intelligence ft. Levi's Recorded: Jul 22 2021 24 mins
    Fabio Ardossi (Data Reply), Megi Hoxha (Levi's), Sunny Gill (Dataiku)
    Watch this webinar featuring talks from data science and AI experts. The talk focuses on the challenges of data science, industry trends and tools used to scale AI in organizations, and how companies use data science to effectively solve business problems.

    Speakers:
    - Fabio Ardossi, Partner @ Data Reply
    - Megi Hoxha, Data Analytics and AI Lead @ Levi Strauss and Co
    - Sunny Gill, Enterprise Success Manager @ Dataiku

    Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner Data Reply. They may contact you with information that could be of interest to you.
  • Machine Learning Basics: Algorithms Are Your Friend Recorded: Jul 21 2021 45 mins
    Katie Gross, Data Scientist
    Machine learning (ML) isn’t just for data scientists anymore; it’s in the mainstream for analytics and business teams who want to get ahead, but it can feel impenetrable. Where to start? Join Dataiku Data Scientist Katie Gross as she outlines key machine learning terms and the applications of different ML algorithms. See how you can build and evaluate an ML model with or without coding. Watch live and ask questions at our Q&A at the end of the talk.

    Katie Gross is a Data Scientist at Dataiku, where she helps clients build out Enterprise AI solutions and develops new product features. Previously, she worked as a data scientist at a marketing science firm, Schireson, and did freelance data science work for a host of companies including IBM. Prior to her data science life, Katie spent three years as a CPG consultant to Wall Street analysts at Nielsen. Katie holds a BA in Economics from Colgate University and also completed the Galvanize Data Science Bootcamp program in New York City.
  • Introducing the Economics of AI Recorded: Jul 21 2021 34 mins
    Shaun McGirr, AI Evangelist @ Dataiku
    Benefits cases for AI capabilities are stuck in the dark ages: delivering projects that convinced your stakeholders to invest in the first place are not sufficient to ensure long-term success. This creates risk that, just as you are getting up to speed, the rules change and the value you already delivered moves on to someone else’s balance sheet, leaving you with a dilemma. Having already harvested the low-hanging fruit, do you ask for more investment with less certainty on ROI, or try to do more with less?

    In this talk led by Shaun McGirr, AI evangelist at Dataiku, we offer Dataiku’s framework for identifying and avoiding this trap. We recast what can look like complicated technical concerns into broader language that will resonate with any business stakeholder who understands profit and loss, capital and debt.

    Our vision is for AI to transcend its current status as a “special capability” and become a ubiquitous tool accessible to all. And the sooner we translate this potential value into terms that drive investment beyond short-term IT procurement horizons, the better.
  • Leverage AI in Manufacturing Predictive Maintenance ft. Microsoft Recorded: Jul 20 2021 51 mins
    Greg Willis, Global Director of Solution Architecture at Dataiku, Patrick Millart, Partner Technology Strategist at Microsoft
    Dataiku Geek Speak Series: Leverage AI in Manufacturing Predictive Maintenance

    Join Dataiku and Microsoft for a virtual workshop focused on manufacturing. Follow our instructors step-by-step while clicking through the project on your own device at home.

    In this session, we will demonstrate how to use Dataiku with Azure Synapse for a machine learning-based solution to predictive maintenance.

    Predictive maintenance is critical for any business with high-capital assets, especially the manufacturing and transportation sectors.

    How can you harness the power of AI to control rising equipment maintenance costs by predicting impending failures that human eyes could never detect?

    With a machine learning-based approach to predictive maintenance, downtime and repairs are directly tied to likely failure, minimising cost (e.g. less labor time, less chance of unexpected failure), and maximising asset life. By contrast, traditional maintenance techniques (run-to-failure, preventative, or some combination of the two) inevitably mean unexpected or disruptive repairs, leading to longer overall downtime.

    Speakers:
    - Greg Willis, Global Director of Solution Architecture at Dataiku
    - Patrick Millart, Partner Technology Strategist at Microsoft

    Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner Microsoft. They may contact you with information that could be of interest to you.
  • Operationalise Your Data Pipeline and Models Recorded: Jul 15 2021 28 mins
    Judy Nam, Solution Engineer, Dataiku
    As per the IDC report 2021, on an average, 77% of AI models remain in pre-production stage. This inability to scale model delivery suggests many organisations struggle to make an impact from their AI investment.

    During this webinar, we will do a live demonstration on how businesses are able to leverage machine learning projects to improve their bottom line. Through this demo, you will be able to understand how data scientists can quickly productionise the pipeline which can be maintained by DevOps / MLOps continuously.
  • 2021 AI Trends: Driving Agility and Efficiency in the Enterprise Recorded: Jul 14 2021 59 mins
    Conor Jensen, Director of AI Consulting at Dataiku
    This non-technical webinar will go in-depth on the trends that will continue to dominate Enterprise AI, particularly when it comes to organizational changes in businesses.
  • Black Box Machine Learning: Complexity and Trust Recorded: Jul 8 2021 50 mins
    Massimo Belloni, Senior Data Scientist, Bumble
    Modern ML algorithms are achieving remarkable results thanks to the continuous development of deeper architectures that can identify complex patterns that are closer to human understanding. However, these results come with a price to be paid: understanding ML predictions is becoming increasingly difficult and, in some cases, even impossible. The problem is more relevant because of regulatory requirements that oftentimes explicitly demand well-formed and understandable explanations for automatic decisions made by ML-powered processes. The need for ML arises when you know the questions and answers but you don’t know an easy way to get from one to the other. Join Massimo for our next virtual meetup and discover the true necessity of ML models...


    Speaker Bio: Massimo Belloni is a data scientist and machine learning engineer currently working at Bumble as a senior data scientist. He graduated in computer engineering at Politecnico di Milano (Italy) and was Team Lead of the Data Engineering team at HousingAnywhere (Rotterdam). He has quite a broad and random set of interests within and outside the AI space, with a focus on consciousness, weak vs strong AI debate, and most notably; football. In his spare time, Massimo is a burger and kebab evangelist.
  • Data Marketing: Quelle Plateforme pour Explorer, Collaborer et Déployer ? Recorded: Jul 8 2021 54 mins
    1.) Benjamin Outin, Dataiku, 2.) Gwénolé Nedellec, Valoway, 3.) Julien Cantin, Valoway
    Les 12 derniers mois ont transformé en profondeur et durablement les habitudes de consommation. Les entreprises doivent mieux comprendre leurs clients en mettant les données au centre de leur stratégie.
    Savez-vous par exemple que les équipes Marketing et Data de Showroomprivé délivrent des campagnes marketing 2,5 fois plus efficaces grâce à l’apport du machine learning et à l’utilisation des données.
    Venez découvrir la 1ere plateforme collaborative permettant à l’ensemble de vos équipes (Business Analyst, Data Engineer, Data Analyst, Data Scientist et directions métier) d’être autonomes et de travailler avec une grande facilité sur toutes les étapes du traitement de vos données clients grâce une interface visuelle ou de code permettant une mise en production rapide.

    Orateurs:
    - Benjamin Outin, Account Executive chez Dataiku
    - Gwénolé Nedellec, Directeur chez Valoway
    - Julien Cantin, Data Science Expert chez Valoway

    En vous inscrivant à ce webinaire, vous acceptez que vos informations soient partagées avec le partenaire de Dataiku, Valoway.
  • Using Statistics to Become a Better Data Scientist Recorded: Jul 7 2021 48 mins
    Christopher Peter Makris, Lead Data Scientist at Dataiku
    As demand for the data scientist role remains high in 2021, the onus is on data scientists to find ways to differentiate themselves amidst a sea of competition and continuously expand their toolbelt. Many of today’s data scientists don’t have a formal statistics background, so learning statistics and probability concepts can be a value-add for them as they aim to increase their understanding of machine learning concepts, improve their models, and bring a new perspective to their projects. This talk, led by Christopher Peter Makris, lead data scientist at Dataiku, will cover key statistics concepts for data scientists to know and how they can be applied to everyday data science tasks.
  • Pour une Gouvernance Réussie de l'IA: une Perspective Européenne Recorded: Jun 30 2021 59 mins
    Sophie Dionnet, General Manager & Paul-Marie Carfantan, AI Governance Solution Manager
    La Commission Européenne a présenté en Avril une réglementation visant à encadrer l'utilisation de l'IA afin d'en prévenir et réduire les risques, comme la reconnaissance faciale ou la manipulation de comportement humain. Dans le cadre de ce règlement, les entreprises seront contraintes d'évaluer les risques des AI et d'intégrer l'explicabilité. En cas de non-conformité, les amendes pourront atteindre jusqu'à 4% du chiffre d'affaire annuel de l'entreprise.
    Au cours de ce webinaire, Dataiku vous donnera les clés pour transformer vos ambitions de gouvernance AI en réalité: Sophie Dionnet, General Manager, & Paul-Marie Carfantan, AI Governance Solution Manager, présentera les défis de cette nouvelle réglementation et les meilleures pratiques pour la maîtriser. La prise en compte de ce défi réglementaire vous permettra de mettre en place une gouvernance performante de l'IA ainsi que d'améliorer l'adoption et l'intégration de vos process métiers.
  • Boosting Your Business: Marketing and Pricing Optimization for Retail & CPG Recorded: Jun 29 2021 60 mins
    Rata Jacquemart, Project Leader, AI Consulting, Dataiku
    [NEW DATE: Tuesday 29th June]

    It's vital for Retail & CPG industries to adapt to rapidly changing consumer demands in challenging and ever-changing environments. So, join us for our new virtual series highlighting the use cases capable of boosting your business in the present, and in the near, post-Covid, future!
     
    In our first edition, Rata Jacquemart, Project Leader, AI Consulting at Dataiku, will discuss Pricing & Marketing optimization and cover numerous topics, including; how to build your discount optimization engine, personalized promotions, and media performance assessment tool's, helping you to start making a change within your organization.

    As Darwin said, “It is not the strongest of the species that survives, nor the most intelligent; it is the one most adaptable to change.”

    Speaker Bio: Rata Jacquemart is a data science project leader at Dataiku, helping customers in various industries building real & measurable business impacts with data science. She holds a PhD in Robotics & applied Mathematics. Before joining Dataiku, she was a data scientist for multiple top companies as the Boston Consulting Group (BCG GAMMA), fifty-five and Telenor where she specialized in retail/ e-commerce, CPG and Telco industries. Before starting her data science journey, she was a researcher in robotics and remote sensing leading projects in using satellite data for Agriculture and Meteorology applications.
  • A Conversation on Data Science and Artificial Intelligence ft. Levi's Recorded: Jun 29 2021 24 mins
    Fabio Ardossi (Data Reply), Megi Hoxha (Levi's), Sunny Gill (Dataiku)
    Watch this webinar featuring talks from data science and AI experts. The talk focuses on the challenges of data science, industry trends and tools used to scale AI in organizations, and how companies use data science to effectively solve business problems.

    Speakers:
    - Fabio Ardossi, Partner @ Data Reply
    - Megi Hoxha, Data Analytics and AI Lead @ Levi Strauss and Co
    - Sunny Gill, Enterprise Success Manager @ Dataiku

    Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner Data Reply. They may contact you with information that could be of interest to you.
  • Accelerate ESG Embedding in Financial Services Recorded: Jun 29 2021 50 mins
    Sophie Dionnet, General Manager, Business Solutions at Dataiku and Christian Lelong, Director, Natural Resources at Kayrros
    Over the past 15 years, evaluating Environmental, Social, and Governance — or ESG — criteria has gradually evolved from being a niche activity to becoming a major trend for the entire financial industry, impacting all players: banks, asset managers, insurers, and others.

    However, successfully embedding ESG in all key financial processes is far from being a given. Developing the right analytics and models, blending traditional financial data and alternative data with ESG metrics, and ensuring ESG fuels all financial decisions and products with the right impact are among the many challenges companies have to overcome.

    In this webinar, led by Sophie Dionnet, General Manager, Business Solutions at Dataiku and joined by Christian Lelong, Director of Natural Resources at Kayrros, discover how financial organizations can leverage a collaborative data science platform to effectively navigate these challenges and deliver high-value transformation across the financial services value chain.
Your Path to Enterprise AI
Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies.

Customers like Unilever, GE, BNP Paribas, Santander use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.

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  • Title: 2021 AI Trends: Driving Agility and Efficiency in the Enterprise
  • Live at: Jul 14 2021 6:00 pm
  • Presented by: Conor Jensen, Director of AI Consulting at Dataiku
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