Analytics Vidhya
JUNE 24, 2020
Overview JupyterLab is a brilliant coding environment to perform data science tasks These 10 reasons will convince to switch to JupyterLab from Jupyter Notebooks. The post 10 Compelling Reasons you Should Use JupyterLab for Data Science Coding appeared first on Analytics Vidhya.
Corinium
JUNE 24, 2020
BNP Paribas Global Head of AI and Digital Risk Analytics Adri Purkayastha talks to us about how COVID-19 is accelerating the firm’s digital transformation and the future of risk analytics. You’ve been at BNP Paribas for roughly 18 months. What would you say are the main differences between working for an in-house data science function and the kind of consultancy work you previously did?
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O'Reilly on Data
JUNE 24, 2020
In various mailing lists about the COVID-19 pandemic, I’ve seen several discussions of “complex systems theory” as, possibly, a way to understand how the pandemic is playing out in different locations. Specifically: why have Japan and Hong Kong not experienced an explosion in cases, even though their governments responded poorly to the crisis?
Corinium
JUNE 24, 2020
In this episode I talk to Louise about the use of data analytics for good - helping youth employment.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Dataiku
JUNE 24, 2020
Not all data scientists are created equal, especially now that several “generations” of data scientists have entered and left organizations.Today, data scientists come in many flavors with different strengths that may suit different types of enterprises depending on the types of problems or projects they are working on. Not to say that one type is better or worse than another type of data scientist — it all depends on what a business is looking for.
IBM Big Data Hub
JUNE 24, 2020
Max Jaiswal is the enterprise data team lead at AIA Australia , a pan-Asian life insurance company with presence in 18 markets across the Asia-Pacific region. The 100-year-old firm is the largest life insurer in the world, and the largest company on the Hong Kong stock exchange , with assets of USD $230 billion. The company’s brand promise is simple: to help people live healthier, longer, better lives.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Teradata
JUNE 24, 2020
Learn how Teradata Vantage's advanced analytics capabilities can analyze and predict useful diagnoses and insights in biomedicine and healthcare.
MLWhiz
JUNE 24, 2020
Creating my own workstation has been a dream for me if nothing else. I knew the process involved, yet I somehow never got to it. But this time I just had to do it. So, I found out some free time to create a Deep Learning Rig with a lot of assistance from NVIDIA folks who were pretty helpful. On that note special thanks to Josh Patterson and Michael Cooper.
IBM Big Data Hub
JUNE 24, 2020
Follow @IBMAnalytics. During IBM’s first Data and AI Virtual Forum a Forrester-led panel of AI leaders, who happen to be women, discussed how their organizations have achieved business critical AI outcomes in the face of a known skill gap.
MLWhiz
JUNE 24, 2020
Have you ever been in a situation where you want to provide your model predictions to a frontend developer without them having access to model related code? Or has a developer ever asked you to create an API that they can use? I have faced this a lot. As Data Science and Web developers try to collaborate, API’s become an essential piece of the puzzle to make codes as well as skills more modular.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Sisense
JUNE 24, 2020
Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. We are going through exceptional times with the COVID-19 outbreak and social unrest. Some companies are laying off workers and others are shutting down operations.
MLWhiz
JUNE 24, 2020
Have you ever wondered how Facebook takes care of the abusive and inappropriate images shared by some of its users? Or how Facebook’s tagging feature works? Or how Google Lens recognizes products through images? All of the above are examples of image classification in different settings. Multiclass image classification is a common task in computer vision, where we categorize an image into three or more classes.
Jet Global
JUNE 24, 2020
What Is an Engineering KPI? An engineering Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an engineering firm uses to gauge its success over time. With engineering being a very broad field, KPIs are employed in a variety of ways, ranging from company-wide analysis to project specific performance metrics. Company wide KPIs can be used to compare companies in the same industry, while project specific KPIs should be used internally to evaluate project perfo
MLWhiz
JUNE 24, 2020
Big Data has become synonymous with Data engineering. But the line between Data Engineering and Data scientists is blurring day by day. At this point in time, I think that Big Data must be in the repertoire of all data scientists. Reason: Too much data is getting generated day by day And that brings us to Spark which is one of the most used tools when it comes to working with Big Data.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
bridgei2i
JUNE 24, 2020
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 8: COVID-19 and Changing Facets of Customer Engagement. Listening time: 11 minutes. COVID-19 and Changing Facets of Customer Engagement. In this episode of AI to Impact, Jitendra Jethanandani, Director, Enterprise Tech at BRIDGEi2i, discusses how the current COVID-19 pandemic spreads waves of uncertainty across businesses and their customer base requiring a renewed focus required on customer engagement.
MLWhiz
JUNE 24, 2020
With the advent of so many computing and serving frameworks, it is getting stressful day by day for the developers to put a model into production. If the question of what model performs best on my data was not enough, now the question is what framework to choose for serving a model trained with Sklearn or LightGBM or PyTorch. And new frameworks are being added as each day passes.
Ontotext
JUNE 24, 2020
To get the most out of Ontotext Platform and its use of GraphQL, your organization should expose a single knowledge graph. This provides a unified interface for querying all of your data sources in context and allows clients to fetch data from any number of data sources simultaneously, without needing to know which data comes from which source. Our friends from the GraphQL Federation have pledged their support.
Data Insight
JUNE 24, 2020
Dashboarding and data visualisation is a hot topic in today’s business world. Tools such as Power BI, Tableau and Google Data Studio are growing in popularity and organisations are increasingly looking to utilise dashboards to report and monitor performance. So, what’s all the fuss about? Are dashboards really such a big deal? At Data Insight, we believe that dashboards are a great tool to get ahead in a digital world, and here are some of the reasons why: Ensure data is accessible to everyone a
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
Data Virtualization
JUNE 24, 2020
Just before lockdown I attended an excellent event in Holland where the presentations from Dutch speakers were translated and broadcast through headsets in real time (by some very adept linguists) into several other languages for the benefit of those, like.
Jen Stirrup
JUNE 24, 2020
After nearly ten years, I have stepped down as a Microsoft MVP due to unacceptable behaviour of some of my MVP peers both towards me and ‘in passing’ where I have been exposed to vile commentary. I cannot stay in a Program where it is not a safe space for me. Additionally, the silence of spectators has convinced me that Diversity and Inclusion efforts are not hitting home.
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