Name: Using NLP to Find the Internet’s Favorite Recipes
Start: 2020-04-08T12:00:00Z
End: 2020-04-08T12:26:43.000Z
Location: BrightTALK
Rating: 0

Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data.

More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between. 


The UAE is currently on its way to be the region’s leading force in AI adoption and integration, both in the public and private sectors. The sheer impact that AI and machine learning can have on the real estate industry has rendered it necessary for enterprises to head in that direction. In order for real estate players to excel in a highly competitive and ever changing environment, they must take advantage of the data they have and the AI processes they can create. 

In this hands-on webinar, join Dataiku Sales Engineer Mehdi Djemame as he walks you through how to:

- Start your Dataiku free trial in less than 2 minutes
- Build a data pipeline with Dubai Land Department Open Data
- Create a Real Estate Price Prediction Machine Learning Model

How AI Can Reshape Real Estate in the UAE

Deriving sustainable business value from AI initiatives can be challenging. Many puzzle pieces need to click into place perfectly. If you can’t make the pieces fit, your organization may not realize and sustain the business value you need from your AI investment.

Are you facing any of these challenges?
No strategic priority among AI investments
Team resource and skill constraints
A lack of alignment with your company’s policies and values
An inability to scale AI effectively and efficiently

Join us to learn from Sudhir Hasbe, senior director of product management at Google Cloud (Analytics), and Hillorie Farace di Villaforesta, head of cloud alliances at Dataiku, to learn how to face these challenges head-on. 

Find out how to:
Securely scale and govern AI projects
Systematize AI and analytics for greater productivity
Empower and upskill technical and business teams  
Deploy more AI in the business while managing costs
Gain more business value from AI

Speakers
Hillorie Farace di Villaforesta (Head of Cloud Alliances at Dataiku)
Sudhir Hasbe (Senior Director of Product Management at Google Cloud)

Build Sustainable AI Business Value with Dataiku and Google Cloud

多くの企業がBIによる見える化で、意思決定にデータを活用しています。そこに、予測の力が加わったらどうでしょうか。機会損失や在庫ロスを防いだり、リソースをより適切に活用できるなど、より大きなビジネス成果が期待できます。
BIはユーザーフレンドリーなツールにより爆発的に普及しました。予測モデルを構築するためのAIも、いまや高度なGUIやAutoMLによりデータサイエンティストだけでなくビジネスユーザーにも使いこなせるテクノロジーへと進化しています。
本セッションでは、BIによる可視化に加えAIを活用するメリット、ビジネスユーザーに適したAIツールについてご紹介します。

■講師プロフィール
中村 祐樹／金融・通信・エネルギー営業部 部長
日本市場にて、金融・通信・エネルギー業界を担当。Dataiku入社前は、東京海上日動火災保険を経て、Tableau Softwareにて7年間、営業としてマーケット拡大に貢献。日本法人の初期フェーズから、規模・業界問わず多くのお客様に対してデータリテラシーの底上げを図り、データドリブンな意思決定ができるように支援してきた。自らもデータ分析スキルを磨いており、現在はG検定取得のため猛勉強中。


Dataikuについてお問い合わせはこちらよりお願いいたします。
https://www.dataiku.com/ja/お問い合わせ/

BIによる見える化にAIによる予測を加え、守りの意思決定から攻めの意思決定に

The European Commission is the first institution worldwide to propose a new legal framework to harmonize rules regarding the use of AI. The “Artificial Intelligence Act” will have significant consequences for organisations both within and outside the European Union. Hence, the question on everyone’s mind: “how will we implement AI Governance in our organisation and make sure we prepare for, comply with, and execute the new AI regulations?”. 

In this webinar, our speakers will discuss this question and share their perspective on AI Governance, the trade-offs between planning for and implementing good AI practice, practical steps to be taken to start building "AI quality" into processes, as this is required by the Act, minimizing risk with internal policies, standards, skills, and training, and share stories of their experiences in the field.

Speakers: 
- Jacob Beswick (Director of AI Governance Solutions @ Dataiku)
- Simone Larsson (AI Strategy & Evangelism @ Dataiku)
- Patricia Shaw (CEO @ Tech Ethics)
- Rob Price (Director @ Alchemmy)

Theory vs Practice: Aligning AI Governance to the EU Artificial Intelligence Act

Jeudi 7 juillet, découvrez comment accélérer votre business grâce à une stratégie de pricing optimale. A cette occasion, Dataiku vous présentera comment le cas d’usage Pricing Optimization a aidé nos clients a augmenter leurs revenus de 15% et leurs marges de 5%.

Accélérez votre business grâce à une stratégie de pricing optimale

A Gartner survey of public cloud users revealed that 81% of respondents already work with two or more cloud providers, reinforcing the market trend toward a multi-cloud strategy for storing and managing data.

However, a number of both organizational and technical challenges are often overlooked initially. This webinar will explore the key elements of developing a multi-cloud strategy and address pitfalls that data leaders commonly disregard during multi-cloud planning and migration.

The Challenges of Multi-Cloud You’re Not Accounting For

AI活用を成功につなげるには、一部の業務だけではなくさまざまな業務に適用することが必要です。なぜならひとつのAIプロジェクトが大きなビジネス成果をもたらすことは稀で、多くの取り組みとこれらの相乗効果がビジネスを変革するからです。
DataikuのAIプラットフォームは、高度に視覚化されたUIとわかりやすい操作性で、データサイエンティストだけでなくビジネスユーザーにも使いやすく、AIプロジェクトをエンドツーエンドで支えます。AIとデータの活用を企業全体へと広げ、データ人材を育成し、データ活用力を底上げすることをご支援します。
そんなDataikuのAIプラットフォームを事例とともにご紹介します。


■講師プロフィール
小谷 力／ビジネス・デベロップメント
日本市場のビジネス開発として、製造・小売・物流・製薬業界を中心に新規開拓からPoC開始支援に至るまでを担当。
前職の大手会計系コンサルティングファームでは、製造業を中心に、SCM領域におけるDXプロジェクトの戦略策定・企画構想・要件定義・導入支援に至るまで数多く従事。

Dataikuについてお問い合わせはこちらよりお願いいたします。
https://www.dataiku.com/ja/お問い合わせ/

AIの実践的活用と拡大をAIプラットフォームで推進する

In today’s world, the supply chain is at the top of mind of nearly every manufacturer. It needs to be faster, better, and stronger – impenetrable to known and unknown market forces. Successful manufacturers are leaning into AI to meet this challenge in their day-to-day operations, sustainability objectives and scale efforts. With AI, they have gained agility and efficiency, by leveraging analytics to accelerate data-driven culture transformation at all company levels. 

Please join Pierre Goutorbe, Solutions Director, Energy & Manufacturing, and Patrick Sjostedt, Head of Microsoft’s EMEA Manufacturing Business, as they introduce Dataiku and Microsoft’s much-awaited joint AI transformation solutions for manufacturing. The webinar will delve into the finer points of how our solutions will help companies and end with a live demo from Romain Menini, Senior Data Scientist in Manufacturing at Dataiku!

Please be aware that by registering for this webinar, you agree to have your information shared with Dataiku's partner Microsoft.

How Dataiku and Microsoft help Manufacturers Leverage AI for Impactful Business

In diesem Webinar mit unserem Partner SVA erfahren Sie, wie man mit Dataiku ESG (Environmental, Social und Governance)-Trends in unstrukturierten Dokumentdaten verstehen kann und neue „Insights“ schafft, die in unserer Umgebung automatisch in einer einheitlichen, durchsuchbaren und automatisch kategorisierten Datenbank konsolidiert werden. Die generierten „Insights“ sind über ein leistungsstarkes und benutzerfreundliches Dashboard zugänglich und verdeutlichen, dass die Integration von Umwelt-, Sozial- und Governance-Kriterien über das Investieren hinausgeht und alle Finanzprozesse umfasst.

Konkret zeigen wir, wie ESG-Analysen in unserer Umgebung mithilfe KI getriebener Lösungen basierend auf „state-of-the-art“ Sprachmodellen reaktionsschneller und präziser werden, und es Fachleuten ermöglicht ESG-Fragestellungen effektiv zu begegnen. Unsere Umgebung erlaubt es ESG-relevante Dokumente schnell zu identifizieren und Dokumente in anpassbare Kategorien zu klassifizieren, die Umwelt-, Sozial- und Unternehmensführungs-bezogene Aspekte auseinanderhalten. So lassen sich zum Beispiel ESG-Führer und -nachzügler, sowie neue ESG-Themenfelder erkennen und Texte automatisiert aus ESG-Sicht bewerten. 

Die vorgestellte Lösung bietet somit die Möglichkeit den gesamten ESG-Prozess abzubilden, kann problemlos mit neuen Datenquellen und Methoden erweitert werden und erlaubt es Domänenexperten, Data Scientists und Entscheidungsträgern in einer integrierten Plattform zusammenzuarbeiten. 

Bitte beachten Sie, dass Sie mit der Registrierung für dieses Webinar zustimmen, dass Ihre persönlichen Daten an Dataiku's Partner SVA weitergegeben werden. Dieser kann Sie mit Informationen, die für Sie von Interesse sein könnten, kontaktieren.

Interaktive und intelligente Dokumente für ESG

Join us for a panel discussion on "Aligning AI with Enterprise Governance and Risk Management." We are joined by Paul-Marie Carfantan (AI Governance Solution Manager at Dataiku). Minetou Ndiaye
(Sustainable Insurance Director at Axionable), and Jacob Beswick (Senior AI Governance Solutions Manager at Dataiku.)

Aligning AI with Enterprise Governance and Risk Management [APAC]

AI人材の採用や育成は、多くの企業にとっての課題です。RやPython、統計や数学をマスターするのは簡単ではありません。しかし現実的に考えてみれば、まず必要なのは、より多くの社員がデータを探索してそこから洞察を見出す習慣とノウハウの習得です。これにより、さまざまな業務の効率性と生産性が向上します。一つの革新的なAIユースケースを開発・導入するよりも迅速かつ現実的に、成果をもたらすことが期待できます。
本セミナーでは、貴社の既存の人材を、自分自身でAIを活用できる人材へと育成するためのステップをご紹介します。

■ 講師プロフィール
ウィリアム・ホン
Dataikuアジア太平洋本部で日本・韓国の地域営業統括として、顧客とパートナーのAI成長を促す役割を担っている。前職の日本IBMでは、主要アカウントを管理するチームリーダーにつき、主にAI、クラウド、ブロックチェーンの戦略的パートナーシップを牽引。


Dataikuについてお問い合わせはこちらよりお願いいたします。
https://www.dataiku.com/ja/お問い合わせ/

皆をデータ活用人材へ！これを実現するためのステップとは

All industrial companies are engaged in a race to reduce their CO2 emissions to adapt to a shift in market demand and better manage their environmental risks and obligations (in order to, ultimately, comply with financial market requests and future regulatory requirements). But doing so is far from simple because:
-Energy data systems are highly fragmented.
-Companies lack a simple understanding of their footprint and the drivers to actively manage it.
-They struggle to successfully empower their employees with the appropriate data views and forecasting to pilot their approaches in a CO2-conscious manner.

In this webinar, hear from Dataiku’s Pierre Goutorbe (AI Solutions Director, Manufacturing & Energy) and Romain Menini (Sr. Data Scientist, Manufacturing) alongside electricityMap’s Liv Montmerle (Head of Sales & Partnerships) to break down how organizations can combat these challenges in practice. 

They will highlight the Dataiku factories electricity & CO2 emissions forecasting business solution that enables companies to quickly create a unified and interactive view of their electricity consumption across manufacturing sites and meters and easily convert it to CO2 through real-time carbon intensity data from electricityMap. Leveraging AI, it will enable production planners to forecast electricity and CO2 emissions linked to their planned production plans and adjust their geographical allocation choices to optimize their footprint.

The Race Is On: Avoid & Reduce CO2 Emissions Across Your Manufacturing Sites

Anti-money laundering (AML) processes are complex and multifaceted and generate large numbers of alerts that must be investigated. Most generated alerts are ultimately not escalated for further review. Reducing the total number of false-positive alerts is a complex and heavily regulated process. Improvements in AML processes must occur at many points in the chain, and a modular solution that can be readily incorporated into existing flows to more efficiently process existing alerts is a means to improve detection rates and reduce alert fatigue, acting as the first step to AML set-up efficiency.

Anti-Money Laundering Alert Triage

Post-market drug safety surveillance is critical for discovering and addressing unforeseen adverse drug events in diverse real-world populations, but the quality and volume/velocity/variety of data from spontaneously reported systems create barriers to operational analytic pipelines.

In this session, we’ll discuss some of these challenges and show you how to use Dataiku to prepare data from the FDA Adverse Event Reporting System, calculate disproportionality metrics, and apply modern ML algorithms for enhanced detection and insights into safety signals in pharmacovigilance. We will also discuss how other data sources such as drug labels, population metrics, medical literature, and social media could be incorporated for more powerful applications of AI for global drug safety.

Detecting Safety Signals in Pharmacovigilance With Dataiku

近い将来、AIの活用はあらゆる日々の業務で当たり前になるでしょう。その波に遅れることのないよう社内でのAI活用を進めるにはどうしたら良いでしょうか。全社員がRやPythonの技術を身につけたり、さまざまな環境で開発・デプロイされたAIモデルを業務アプリケーションとして運用・管理するのは現実的ではありません。

AI活用企業に必要なのは適切なテクノロジーを統合したプラットフォームです。テクノロジーの進化、AI利用規模の拡大、ユーザーの多様化、運用と管理、ガバナンスなどを見越して、これを導入しなくてはなりません。本セッションでは、AI活用を企業レベルに拡大していくために必要な機能や要件をご紹介します。貴社に必要なテクノロジーやプラットフォームを評価するためのRFPの作成にお役立てください。


■ 講師プロフィール
桂井 良太
マーケット・デベロップメント ディレクターとしてDataikuの日本市場進出を担当。前職のClarizenでは日本市場の責任者としてソリューションの販売から導入・サポートを担当。それ以前はスカイライトコンサルティング株式会社のマネージャーとして８年間グローバルプロジェクトのPMとして活躍。

Dataikuについてお問い合わせはこちらよりお願いいたします。
https://www.dataiku.com/ja/お問い合わせ/

日々の業務でAIを活用するためにテクノロジーに求められる機能や要件とは

In this webinar, we’ll show you how to leverage Dataiku on AWS to build data-driven applications that support decision-making for your business. We’ll review advances in Dataiku’s latest recently-released v10 product, as well as the integrations you can use to leverage the power of AWS. We’ll demonstrate with a Dataiku project that uses geospatial analysis to assess the risk of credit-card fraud. We also provide a hands-on tutorial you can use to build it yourself! This webinar has something for every persona, business or technical, expert or citizen.

Build, Deploy, and Scale AI Applications With Dataiku and AWS

ML projects fail not because of great ideas, but often because of execution. The process for developing, operationalizing and running ML models seems too cumbersome and complicated. Therefore, ML models are often of limited use for automated decision making. Learn why this is the case and how DataOps can help. We will clarify questions in this webinar such as:

What do we see in ML development & operations in companies today and what impact do these scattered processes have on the model benefit
What does a seamless development, deployment and operating process looks like?
Why should you think about DataOps?
What are the biggest pitfalls in implementing these seamless processes?

Getting the best out of ML with DataOps

Tail risk is an inevitable component of financial portfolios. Popularized by Taleb in his famous ‘Black Swan’, tail risk is usually something one only finds out about when it is already too late. When the markets crash, all participants panic-sell, driving prices ever lower and correlations ever higher. The resulting losses are invariably much larger than predicted, and often larger than the capitalization that those institutions affected can bear.

This talk will present some new approaches to managing tail risk by using methods from machine learning. Morgan Hill has developed a suite of methods ranging from fat-tailed orthogonalization, tail-risk allocation to tail risk hedging. Whilst providing new levels of protection for tail risk events the methods also apply to optimising a portfolio for maximum returns within a given level of risk.
We shall present some intuitive explanations of how and why these methods work, and give a demonstration of the software implementation.

Speakers:
-Jan Rosenzweig, Portfolio Manager @ Morgan Hill
-John McCambridge, AI Solutions Manager @ Dataiku

Please be aware that by registering for this webinar, you agree to have your personal information shared with Dataiku's partner Morgan Hill. They may contact you with information that could be of interest to you.

Automated & Interactive Portfolio Risk Optimization For Fund Managers

Want to judge whether your recipe will be a hit? Or in general, what user-generated content is likely to lead to high engagement? This Dataiku Community on-demand talk will walk you through the basics of text pre-processing and using NLP to predict which recipes are likely to be highly rated. By the end of the talk, viewers should be able to take away the reasoning and key steps of the project and apply NLP to their own prediction problems.

Using NLP to Find the Internet’s Favorite Recipes

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Marketing Operations and Automation

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Data and Analytics

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E-commerce

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Marketing

Increasing expectations for good governance, effective risk management and complex demands for corporate compliance are presenting a growing challenge for organizations of all sizes. Join industry thought leaders as they provide you with practical advice on how to implement successful risk and compliance management strategies across your organization. Browse risk management resources in the form of interactive webinars and videos and ask questions of expert GRC professionals.

IT Governance, Risk and Compliance

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Data Center Management

Unified communications improve collaboration and increase productivity among employees through technologies such as VoIP, instant messaging and social media. Join this community to learn how to benefit from the full value of unified communications and collaboration technologies.

Collaboration and UC

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Enterprise Applications

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Using NLP to Find the Internet’s Favorite Recipes

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