A short while ago, we were happy to receive the news that ML6 won the 2020 ‘AI Innovator of the Year’ award in the prestigious Data News Awards for Excellence. This award recognizes IT companies that set the trend in creating innovation and adopting artificial intelligence technologies. The jury specifically recognized our ability to innovate together with our clients, which is something we are very proud of.
To celebrate our award, we would like to share some insights on how we foster innovation at ML6. Everyone at ML6 works hard every day to make sure that we stay at the forefront of innovation and create value with our clients, and while it’s hard to capture this spirit into words, we’ll try our best. To limit the scope of this post, we’ll mostly focus on our delivery team, but we’re happy to talk to anyone who would like to know more! Read More
Tag Archives: Strategy
Five Strategies for Putting AI at the Center of Digital Transformation
Across industries, companies are applying artificial intelligence to their businesses, with mixed results. “What separates the AI projects that succeed from the ones that don’t often has to do with the business strategies organizations follow when applying AI,” writes Wharton professor of operations, information and decisions Kartik Hosanagar in this opinion piece. Hosanagar is faculty director of Wharton AI for Business, a new Analytics at Wharton initiative that will support students through research, curriculum, and experiential learning to investigate AI applications. He also designed and instructs Wharton Online’s Artificial Intelligence for Business course. Read More
Top Data Science & AI Trends To Watch Out For In 2021
The year 2020 was full of unexpected challenges. Having said that, it also served as a unique opportunity to leverage technology on multiple fronts. From adopting it in various industries such as retail, eCommerce and others, to adopting it to ensure the safety of employees in work from home scenarios, and improving consumer experiences, the industry went through various digital touchpoints. Adoption of data, analytics, AI, cybersecurity and other new technologies saw an exponential growth to bring about changes to fit into the changing business scenario.
Looking at the previous year, 2021 looks like an opportunity for tech trends to grow to newer arenas. Intelligent machines, hybrid cloud, increased adoption of NLP, and overall an increased focus on data science and AI is going to be the highlights in the coming year. Some of the other trends that may see a rise in the coming year are pragmatic AI, containerisation of analytics and AI, algorithmic differentiation, augmented data management, differential privacy, quantum analytics, among others. Considering these trends, it can be said that data is increasingly becoming a critical part of organisations after the pandemic.
The annual data science and AI trends report by Analytics India Magazine aims to highlight the top trends that will define the industry each year. Read More
2020: A Big Data Year in Review
There are two weeks left in 2020, which means it’s time to exhale a bit and see where we’ve gone. It’s been a bumpy ride over the previous 50 weeks, for sure. But big strides have also been made for those pursuing big data, advanced analytics, and AI, and those accomplishments deserve some credit.
The big story of 2020, of course, was COVID-19. …The other major story of the year was the rise of the public cloud. The cloud was already growing fast at the beginning of 2020–and then COVID-19 happened and cloud growth kicked into overdrive. AWS grew at a 33% rate in the first quarter ended March 31, Google Cloud at 34%, and Microsoft Azure at a whopping 59%. Amazon.com, meanwhile, went on a hiring binge, bolstering its employee rolls by 380,000 over the past year. Collectively, Amazon, Microsoft, and Google their collective market capitalizations from $3.07 trillion to $4.43 trillion since December 30, 2019. (Apple, which does not run its own cloud, grew its market cap by nearly a trillion dollars.) Read More
Top 100 Artificial Intelligence Companies in the World
Artificial Intelligence (AI) is not just a buzzword, but a crucial part of the technology landscape. AI is changing every industry and business function, which results in increased interest in its applications, subdomains and related fields. This makes AI companies the top leaders driving the technology swift. AI helps us to optimise and automate crucial business processes, gather essential data and transform the world, one step at a time. Millions of users interact with AI directly or indirectly on a day-to-day basis via virtual assistants, facial recognition technology, gaming platforms, chatbots, mapping applications and a host of other software. From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.
As big enterprises are busy acquiring or merging with other emerging inventions, small AI companies are also working hard to develop their own intelligent technology and services. By leveraging artificial intelligence, organizations get an innovative edge in the digital age. AI consults are also working to provide companies with expertise that can help them grow. In this digital era, AI is also a significant place for investment. AI companies are constantly developing the latest products to provide the simplest solutions. Henceforth, Analytics Insight brings you the list of top 100 AI companies that are leading the technology drive towards a better tomorrow. Please note: The companies are in Alphabetical order with no internal rankings Read More
Using an AI COE (Center of Excellence) to Bridge from Experimentation to Mastery
Summary: There is now sufficient experience among mid and large sized companies starting their AI journey to identify a single best practice for moving from AI experimentation to scale-up: the AI COE (Center of Excellence).
If you are a mid-sized business, government organization, or educational institution chances are pretty much 100% that you already have AI somewhere in your company.
AI is embedded in so many modern applications that some version of NLP, machine vision, text recognition, or a recommender or behavioral predictor of some sort is already hard at work without you’re really having to do much beyond the original customization and implementation. Read More
Driving The Next Generation of AI
This article is a response to an article arguing that an AI Winter maybe inevitable. However, I believe that there are fundamental differences between what happened in the 1970s (the fist AI winter) and late 1980s (the second AI winter with the fall of Expert Systems) with the arrival and growth of the internet, smart mobiles and social media resulting in the volume and velocity of data being generated constantly increasing and requiring Machine Learning and Deep Learning to make sense of the Big Data that we generate.
The rapid growth in Big Data has driven much of the growth in AI alongside reduced cost of data storage (Cloud Servers) and Graphical Processing Units (GPUs) making Deep Learning more scalable. Data will continue to drive much of the future growth of AI, however, the nature of the data and the location of its interaction with AI will change. This article will set out how the future of AI will increasingly be alongside data generated at the edge of the network (on device) closer to the user. This will have the advantage that latency will be lower and 5G networks will enable a dramatic increase in device connectivity with much greater capacity to connect IoT devices relative to 4G networks. Read More
The state of AI in 2020
The results of this year’s McKinsey Global Survey on artificial intelligence (AI) suggest that organizations are using AI as a tool for generating value. Increasingly, that value is coming in the form of revenues. A small contingent of respondents coming from a variety of industries attribute 20 percent or more of their organizations’ earnings before interest and taxes (EBIT) to AI. These companies plan to invest even more in AI in response to the COVID-19 pandemic and its acceleration of all things digital. This could create a wider divide between AI leaders and the majority of companies still struggling to capitalize on the technology; however, these leaders engage in a number of practices that could offer helpful hints for success. And while companies overall are making some progress in mitigating the risks of AI, most still have a long way to go. Read More
Making Sense of the AI Landscape
As more and more companies incorporate AI tools into their operations, business leaders need to find ways to adapt. But the term “AI” in fact covers a huge spectrum of different things. How can leaders start to make sense of this vast array of new systems? The authors analyzed over 800 different AI tools and found that the problems they solved fell into four distinct categories: rote tasks, simple tasks that require ethical decision-making, creative tasks with limited ethical implications, and tasks that require both creativity and ethics. Armed with this simple framework, leaders can start to get a handle on the human capabilities they’ll need to invest in to make the most of these new tools. Read More
The AI Advantage: Is your business ready for artificial intelligence?
The news about artificial intelligence is mostly dominated by sensational stories such as the ominous threat of deepfakes, deep learning algorithms that create fake blogs, AI bots that create their own language, and generative adversarial networks that create realistic portraits of non-existent people.
But the practical use of AI algorithms is much farther behind than the hype caused by the media. Read More
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