AI Business Archives

Gen Z is defining digital banking – FinTech is listening

Gen Zers are the true digital natives. From streaming to sharing, those between the ages 18 to 24 expect seamless connectivity — and their finances are no exception. The banking industry has shifted servicing dramatically from its beginnings as a brick-and-mortar stalwart to become far more digitally flexible. As one of many pandemic impacts, having a choice for complete online banking is an ageless expectation, however for Gen Z it has become a table stake.

AI is transforming the Logistics Landscape: Here’s a glimpse at how, why and by when

2 days ago13 hours ago Beam

As the COVID-19 pandemic continues to put pressure on supply chains worldwide, the prospect of leveraging AI logistics tech has become more attractive than ever. Data-driven solutions are giving companies the power to increase profitability, resiliency and meet the new demands of commerce in times of unpredictability. AI and machine learning (ML) technologies are now being widely applied across distribution networks. In fact, 61% of executives report decreased costs and 53% report increased revenues as a direct benefit of introducing AI into their supply chains.

Which Data-Science skills are the most vital in 2021?

3 days ago3 days ago Emmett Boudreau

There are a lot of industry standard tools that any aspiring data scientist will certainly want to be familiar with. Experience with these tools is almost always presented as a requirement on job listings because they are likely the tools you will be working with in-house. At the very least, familiarity with the concepts presented by the tools will make them easier to utilize before you have gotten the chance to get experienced with them.

Computer Science Degrees: Are they Worth Getting in 2021?

5 days ago4 days ago Sun-Li Beatteay

Is a computer science degree worth it? For me, partially. For you? You tell me. In August 2018, I enrolled in college to get my computer science degree. However, I wasn’t your typical CS student. First off, I was almost 30 and already had a college degree from nine years earlier. Secondly, I was already a professional software developer with a full-time job.

How AI transforms Copywriting

5 days ago4 days ago Giulia Penni

What if marketers could leverage artificial intelligence for copywriting to deliver content that resonates with specific audiences? What if, instead of relying on gut instinct alone, creative teams could be mathematically certain about the words and phrases to use in marketing campaigns? It is now possible to apply science to the art of copywriting, and many brands have already started bringing together man and machine to produce compelling copy and achieve better results.

Marketers who deploy AI can have an upper hand in lead generation

5 days ago4 days ago Abhilash Pattnaik

Artificial intelligence is now a part of our day-to-day lives and it’s an ideal opportunity to utilize the numerous AI lead generation tools in your business. Artificial intelligence dominates at extricating insights about leads from your marketing and sales data. Some AI-powered tools utilize that information to disclose to you more about your prospects and customers.

Google Research: Looking Back at 2020, and Forward to 2021

1 week ago3 days ago Google AI

When I joined Google over 20 years ago, we were just figuring out how to really start on the journey of making a high quality and comprehensive search service for information on the web, using lots of curiously wired computers. Fast forward to today, and while we’re taking on a much broader array of technical challenges…

Deploying Machine Learning into production: Don’t do Labs.

1 week ago1 week ago xiao z

In my experience building analytics products at Best Buy Canada, applied data science projects rarely fail because of the science. They fail because the model couldn’t be integrated into existing systems and business operations. We have had sound models showing good accuracy, even with proofs of concept demonstrating value, yet still fail to get deployed into production. The challenge isn’t POCs, its scaling.

How to retain your institutional knowledge when employees retire (& how can AI simplify this)

2 weeks ago2 weeks ago Kamila Hankiewicz

Since skills, knowledge and experience are vital to a successful business and the pace in which it innovates, retaining existing institutional knowledge is an increasing priority. How can you guarantee that your company’s know-how won’t just walk out the door and jeopardise your brand and positioning? The short answer is: You can’t. But there are ways that utilising a combination of analytics, IoT, and AI techniques, along with corporate training and knowledge replacement strategies, can help.

MLOps: Model Monitoring 101

2 weeks ago1 week ago Matt Mayo Editor

Model monitoring using a model metric stack is essential to put a feedback loop from a deployed ML model back to model building so that ML models can constantly improve itself under different scenarios.

Modelling Risk: the absolute and the relative

2 weeks ago2 weeks ago Dr Andreas Ochs

What is the risk of a new creditor to default on their loan? what is the “risk” of watching a certain movie on Netflix given a certain viewing history? What is my risk of dying given a certain diagnosis and how is this affected by a certain treatment? Risks are all around us, and quantifying these risks is becoming increasingly popular. Providing the right kind of analysis to these key questions is crucial to making the right decisions.

AI Marketing: 10 ways to incorporate advanced tech in your 2021 day-to-day

2 weeks ago2 weeks ago Lazarina Stoy

We list 10 ways marketing is improved by AI, by incorporating these in your day-to-day 2021 can be an exceptional year.

How to present Machine Learning results to non-technical people

3 weeks ago2 weeks ago Vicky Yu

As data scientists, the impulse is to show the raw model results but often we need to transform the output into a form stakeholders can understand. Two approaches to articulating model results are reviewed.

How Artificial Intelligence will drive Predictive Analysis to the next level

3 weeks ago1 week ago ONPASSIVE

Scientists pioneer in innovative ways of creating revolutionary healthcare insights through artificial intelligence prediction. Based on a patient’s eye scan, their system can make predictions against the patient’s risk of experiencing a severe cardiac incident. It achieves by training a Machine Learning system with medical data, including the age, blood pressure, and smoking habits of three hundred thousand patients.

Trends in Data Science that will change Business Strategies

3 weeks ago3 weeks ago Renato Boemer

From individual skills to business development, data professionals have many opportunities in the next few years. Although there are many challenges ahead, the same research reported that more than half (52%) of companies and organisations are looking to foster a data-driven culture.

Building AI Brain Trust: What technical skills are needed to accelerate AI adoption? A focus on quality AI research methods

3 weeks ago3 weeks ago Cindy Gordon, Contributor

This blog drills down to explain five key Emotional and Social Intelligence skills required in building an AI Leadership Brain Trust. The most important AI emotional and social intelligence skill is curiosity…

AI jobs in 2021: here are some key trends

3 weeks ago1 week ago Anonymous

There’s no doubt about it – Artificial Intelligence has been a bit of a buzzword this year. Artificial intelligence has been established as the main driver of emerging technologies such as big data, robotics, and the IoT. So, what do the next 12 months look like for AI?
As a result of the global pandemic, consumer trends have changed significantly, which has resulted in some notable trends in the world of AI for 2021…

Machine Learning: Automated DevOps and threat identification

4 weeks ago4 weeks ago Advai

Machine Learning (ML) and Artificial Intelligence (AI) is a technology that is still finding its footing in the commercial sector. Although few systems are touted as a complete solution, there are many new AI/ML based companies that are capitalising on the benefits, and traditional business will need to follow suit. ML Ops, the ML equivalent of DevOps will become increasingly important.

Data quality from First Principles

4 weeks ago1 week ago Huy Nguyen

The right way to think about Data Quality, from Kimball and Uber’s points of view. If you’ve spent any amount of time in business intelligence, you would know that data quality is a perennial challenge. It never really goes away. For instance, how many times have you been in a meeting, and find that someone has to vouch for the numbers being presented?

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