Occam's Razor

MARCH 30, 2017

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. trillion pictures in 2016. My personal strategy: Understand reality. No more theory, we felt it! Let me fix that for you.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

bridgei2i

MAY 26, 2020

And over the past few weeks, on our AI to Impact podcast, we’ve been chatting with reputed AI & analytics leaders, digital transformation advisors and BRIDGEi2i business heads to gather their point of view on the current crisis challenges that enterprises are facing and some strategies to manoeuvre the COVID-19 situation.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

CIO Business Intelligence

JUNE 22, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Around 2016, we started talking about data in motion within the context of an enterprise data platform. It can be “at rest”, “in use”, or “in motion”.

IoT 98

IoT IT Manufacturing Internet of Things 98

Cloudera

APRIL 27, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Around 2016, we started talking about data in motion within the context of an enterprise data platform. It can be “at rest”, “in use”, or “in motion”.

IoT 99

IoT IT Manufacturing Internet of Things 99

CIO Business Intelligence

APRIL 7, 2022

More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work. KPMG, for example, built its first interactive chatbot in 2016. KPMG calculates a score for an employee’s risk of attrition, tries to identify a reason for that, and then suggests a remediation.

Consulting 145

Consulting Management Interactive Metadata 145

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].) Why experiment with several parameters concurrently?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

JULY 20, 2023

Like with any powerful new technology (think: the internet, the printing press, nuclear power), there are great risks to consider. A few things: Tackle bias not just in your data, but also be aware it can result from how the data is interpreted, used, or interacted with by users Lean into open source tools and data science.

Risk 40

Risk Machine Learning Deep Learning Interactive 40

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

When these concerns loom too large to ignore, data scientists and practitioners will generally adopt one of a few suboptimal strategies. In our case, it turns out that the monotonicity regularizer allows us to increase the number of knots without incurring much risk of overfitting there are fewer ways for the model to go wrong.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. Jake Vanderplas (2016). In business terms, why does this matter ? Chris Albon (2018).

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Jet Global

MAY 18, 2020

The Office of the CFO sits at the heart of business strategy if it is operating productively and effectively. But without establishing a centralised rapid reporting rhythm, fed by real-time data and supported by automated reporting processes, finance runs the risk of things dropping off into silos.

Finance 64

Finance Reporting Uncertainty Testing 64

Smart Data Collective

DECEMBER 19, 2019

Also, industry-specific businesses are leveraging this power to chalk out stellar marketing strategies. In 2016, A Facebook bot tricked more than 10,000 Facebook users. The AI-enabled antiviruses utilize ML techniques to understand and learn how legitimate programs interact with an OS. It is like the “dementor”.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. what Chris describes.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Citrix closes $2.25

Technology 143

Technology Enterprise Consulting Software 143

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world. We saw this after the 2016 U.S.

Uncertainty 282

Uncertainty Testing Risk Reporting 282