Medium 41e1d8dc b0ea 4ab4 8c46 ab5fd9861ef4

A Platform Strategy Won’t Work Unless You’re Good at Machine Learning

If you look out at the world of platform companies, you will quickly find that use of AI for curation is a hallmark of the outperforming platform.  If your organization wants to enter adopt a platform strategy and begin taking advantage of the networks effects it offers, you had better recognize that curation is an essential part of the journey and make sure you have the machine learning competency needed to make it happen.

Medium ed4df682 d5bf 4065 9191 18940d87c930

Blockchain and AI: A Perfect Match?

The combination of blockchain technology and Artificial Intelligence is still a largely undiscovered area. Even though the convergence of the two technologies has received its fair share of scholarly attention, projects devoted to this groundbreaking combination are still scarce. Putting the two technologies together has the potential to use data in ways never before thought possible. Data is the key ingredient for the development and enhancement of AI algorithms, and blockchain secures this data, allows us to audit all intermediary steps AI takes to draw conclusions from the data and allows individuals to monetize their produced data.

Medium 061458c9 956e 4ca4 a8ec 6dbfab3d495a

How Python Can Be The Best Technology Choice For FinTech?

The FinTech products come with a complexity which can be difficult to compete with, due to the various limitations falling under this domain. Python is seen as the ideal technology for building FinTech products. The language offers a lot of advantages over other languages like clear programming syntax, greater development strategies, and user-friendliness. In addition, Python can also boost the availability of several frameworks and libraries which can enhance the overall development process of any FinTech product.

Medium 1a9533c0 42ab 4d7b b34b bee2abbb6aa2

Top AI algorithms for Healthcare

Despite the variety of applications of AI in the clinical studies and healthcare services, they fall into two major categories: analysis of structured data, including images, genes and biomarkers, and analysis of unstructured data, such as notes, medical journals or patients’ surveys to complement the structured data. The former approach is fueled by Machine Learning and Deep Learning Algorithms, while the latter rest on the specialized Natural Language Processing practices. At present, advances in AI and NLP, and especially the development of Deep Learning algorithms have turned the healthcare industry to using AI methods in multiple spheres.

Medium 890a51b4 3571 4662 b22b 493e67e55563

Kubernetes Heralds New Architectural Paradigm for the Enterprise

If you haven’t been paying attention to the world of enterprise IT infrastructure, you may have missed the sudden rise of Kubernetes to a position of absolute domination. We can attribute this rapid ascent, in fact, to a confluence of trends. Perhaps the most predictable of these is the maturation of the public cloud. The second trend that contributed to Kubernetes’ victory: DevOps. Bridging the maturation of cloud best practice and the dual roles of DevOps is perhaps the most important trend of all: cloud-native architecture.

Medium c72d1698 203b 4a52 bd66 6a68376f732f

Business intelligence meets artificial intelligence

When it comes to business, AI can be invaluable – whether it’s used to identify and target a potential customer base or streamline internal processes.   Already, a range of industries, from retail and banking to the security and legal sectors, are taking advantage of what AI can offer. The goal for future-thinking organisations is to make sure they have the right strategies in place so that they’re able to adopt these rapidly evolving AI capabilities. Here are three business needs were identified where AI could offer value.

Medium d2e3596a 2bcf 4876 ac17 cd7b161d43c5

What is transfer learning?

When created from scratch, deep learning models require access to vast amounts of data and compute resources. This is a luxury that many can’t afford. Moreover, it takes a long time to train deep learning models to perform tasks, which is not suitable for use cases that have a short time budget. Fortunately, transfer learning, the discipline of using the knowledge gained from one trained AI model to another, can help solve these problems.

Medium 1003e4b2 637a 4616 920c b27582bb1fbe

Dimensionality Reduction with T-SNE

We can understand things in 1 dimension, 2 dimensions and 3 dimensions easily but Datasets can be very complex and hard to understand, especially if you don’t have the right tricks in your proposal. In machine learning, we sometimes need to make assumptions based on hundred or even thousand dimensions. Our brains just can’t do that, which is why machine learning helps us to recognize and learn patterns within data that humans can’t recognize. 

Medium 412ed154 e005 4d52 8451 7d0e725e302f

Why today’s business decision-makers need data and robots

It’s vital to have the necessary data to make important business choices. Today’s technologies – such as artificial intelligence, business process automation, robotic process automation (RPA) and other automated tools – are creating a data-driven decision-making revolution. A growing number of businesses are taking advantage of RPA, which partially or fully automates human activities that are manual, rule-based, and repetitive, freeing up humans to focus on more pertinent tasks. RPA harnesses data so that you can take the guesswork out of your business decisions.

Medium 10689d73 b140 4124 bc61 67d6d39f5153

An Introduction to Big Data: Distributed Data Processing

Introduction to Big Data provides a broad introduction to the exploration and management of large datasets being generated and used in the modern world. A solid understanding of the basic concepts, policies, and mechanisms for big data exploration and data mining is crucial if you want to build end-to-end data science projects. Many datasets are too large to fit on a single machine. Unstructured data may not be easy to insert into a database. Distributed file systems store data across a large number of servers.

Medium bd3bae8c e7b0 4a93 9c9b 2e7e5ea77639

The old way of managing data doesn't work

Data initiatives often take too long to get off the ground, which can cause businesses to give up or change tack. In addition, the promise of value of data warehousing projects is often lost due to other factors, including the fact that planning for the required hardware based on the estimated load and usage, is often a 'thumb-suck' exercise and requires a significant upfront capital investment. Finding and retaining the appropriate database administration skills to guarantee that data is readily available when needed, and indexed accordingly, is challenging and expensive.

Medium c0aa4d83 3282 4672 96bf ecb9ee736889

Robotic process automation helps customers—and employees

It’s common to see businesses of all sizes relying on people-power to complete tasks that today can and should be automated. To address this challenge, companies should consider deploying robotic process automation, or RPA. RPA uses bots to reduce manual workloads, freeing up teammates to work on more value-added tasks that ultimately enhance the customer experience and create greater job satisfaction. While RPA offers advantages, it can also present difficulties to deal with. Here is a look at the successes, challenges and best practices that other organizations may find helpful in their automation journey.

Medium eb1c0f19 5d7b 4bb0 b361 38a8d342bceb

Impact 101:Five Steps to Scale Your Work

Everyone that talks about scaling should understand that they are referring to the ability of their work – whether a system, a tool or some other innovation – to cope and perform under an increased or expanded workload. Something that scales well will be able to maintain, or even increase, its performance or efficiency when tested by larger operational demands. How do I increase the impact of my work? There are typically five steps needed to scale one’s work.

Medium 05936ef8 9c3a 44d1 a682 82893eed16a0

Clearing the confusion around digital process transformation

The plethora of automation tools available out there can be extremely confusing for organisations wanting to embark on a digital transformation process. Two-thirds of global service organisations were engaged in digital transformation, with 16% claiming to have already completed the process. it is important for organisations to take a holistic view of what they are hoping to achieve, before deciding on which automation approach to take. This is not always easy, as enterprise architects have to choose from a confusing range of process automation options as a foundation for the transformation journey.

Medium bd4229d6 97f8 4938 8d0d baae59975173

Overview of Different Approaches to Deploying Machine Learning Models in Production

Choosing how to deploy a predictive model into production is quite a complex affair, there are different ways to handle the lifecycle management of the predictive models, different formats to stores them, multiple ways to deploy them and very vast technical landscape to pick from. Understanding specific use cases, the team’s technical and analytics maturity, the overall organization structure and its’ interactions, help come to the right approach for deploying predictive models to production.

Medium b2d64903 404c 4d05 94cd e070ace23e60

Deloitte and Experfy Announce Alliance to Create an Innovative Future of Work Model That Will Embed Experfy’s Top On-Demand Freelance Talent Into Deloitte’s Leading Analytics and AI Offerings

The relationship between Deloitte and Experfy is an example of how dynamic marketplace conditions and talent markets encourage leading edge organizations and professionals to forge alternative work arrangements including freelance, crowdsourcing and on-demand relationships. The alliance with Boston-based Experfy, looks to accelerate Deloitte’s ability to deploy a flexible, world-class, on-demand talent strategy; and to provide its clients with the right team to meet their most challenging Analytics and AI opportunities and challenges.

Medium 7faf4fbb 5ca2 4581 b449 6989298d5b0a

What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)

Natural Language Processing helps business users sort through integrated data sources (internal and external) to answer a question in the way the user can understand and will provide a foundation to simplify and speed the decision process with fact-based, data-driven analysis. The enterprise can find and use information using natural language queries, rather than complex queries, so business users can achieve results without the assistance of IT or business analysts. NLP presents results through Smart Visualization and contextual information delivered in natural language.

Medium 8a64f74d 6756 4bf7 b1f5 d99ec4c514dc

Top 13 Skills To Become a Rockstar Data Scientist

 Practically speaking, it’s impossible for a data scientist to have all the skills listed in this article. But these skills are what make a rockstar data scientist different from a good data scientist, in my opinion. By the end of this article, I hope you’ll find these skills helpful throughout your career path as a data scientist. It’s perfectly fine if you’re overwhelmed by the skills needed. At the end of the day, these skills are not a must to be a data scientist, but they certainly make you different compared to other typical data scientists.

Medium a4735f46 51e1 4e89 a5c7 7b256b378d52

How artificial intelligence is transforming the media industry

Possibly most significantly, AI will be at the forefront of creativity – the force that ultimately drives the media business. Artists equipped with an AI-enabled feedback loop based on real-time, consumption metrics will up their creative batting average, which will thus increase production and commercial ROI. AI will influence all parts of the media value chain, helping content creators to be more creative, helping content editors to be more productive, and helping content consumers to find the content that matches their interests and current situation.

Medium 74a6d299 1e73 4b8f bf54 cf6ed917456d

Best Data and Big Data Visualization Techniques

Data visualization provides an important suite of tools and techniques for gaining a qualitative understanding.  To choose the most appropriate visualization technique you need to understand the data, its type and composition, what information you are trying to convey to your audience, and how viewers process visual information. Sometimes, a simple line plot can do the task saving time and effort spent on trying to plot the data using advanced Big Data techniques. Understand your data — and it will open its hidden values to you.

Medium 92aedd5b 0b3d 48e9 a755 01e1069f320e

How to build blockchain competency in corporations: What is the right way?

Interested in how to incorporate blockchain technology with the help of a dedicated blockchain unit or simply want to get to know more? To promote your knowledge of blockchain technologies or digitization in general, regardless whether it is directly for your company or your personal development, you should gather further information and deepen the understanding of how to incorporate blockchain competencies inside a corporation.The importance of investing into qualified manpower as well as a strategic foresight is going to be illustrated in the following article.

Medium 41d5f608 dd38 4117 8019 e9782c75b714

How is Automation Enabling the Banking Sector

The financial service sector has undergone radical changes over the last few years. Given the prevalence of several labour-intensive processes in the banking industry, it is unsurprising that the sector has been leading in welcoming automation solutions. Banks are increasingly moving towards adopting the digital blocks of what we call as “ABCD of Digital Technologies”, A for Artificial Intelligence and Robotic Process Automation, B for Big-data and Advanced Analytics, C for Cloud computing and D for Devices in several processes including KYC procedure, cross-border payments, trade finance and smart contracts.

Medium d803f134 fbd8 4467 b292 171db0e9648e

Management Consulting’s AI-powered Existential Crisis

Management consulting tends to view itself as an elite, untouchable echelon of the business world. But it is vulnerable to the same market forces that are disrupting services everywhere. The consulting industry is at risk. With its deeply embedded business and mental models, many companies will be unable to make the jump. So how should consulting companies, or any in the services sector, adjust to this new, data- and AI-driven world? Follow the rules mentioned here.

Medium 2d680824 f450 47f9 a013 40a3b7333b8b

Seven use cases of RPA in the healthcare industry

The utilization of RPA in healthcare services can centralize and streamline different workflows. Shifting these routine tasks from human agents to bots can result in cost savings for healthcare providers. Also, automating crucial workflows will improve efficiency across the board. With this approach, healthcare professionals can spend the majority of their time on patient care and other critical activities. A major drawback of leveraging RPA in healthcare is that RPA can only process structured data and work with a rule-based approach. However, the advent of intelligent process automation (IPA) will make RPA smarter. 

The Harvard Innovation Lab

Made in Boston @

The Harvard Innovation Lab