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Farid Mheir
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Data cleaning is a massive part of data pre-processing and model building for machine learning algorithms so it's something you can never miss.
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Farid Mheir
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The automation, and control of the resulting data, raises questions about the role of human farmers.
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Farid Mheir
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12 technology trends that will help shape the future of digital business.
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Farid Mheir
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Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights. Significant vendor growth, product development and myriad competing visions reflect a healthy market that is maturing rapidly.
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Farid Mheir
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Technology is the future of customer experience. These statistics show the grow of new technology and how it impacts everything about the future of customer experience.
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Farid Mheir
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À quel point l’âge, le revenu, le genre ou la religion influencent les chances de voter pour un parti? Nous avons puisé dans les réponses de 387 671 utilisateurs de la Boussole électorale pour le déterminer.
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Farid Mheir
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Finding shabby abodes like these and making them respectable is the load-bearing wall of Amherst’s strategy. Amherst depends on humans to find cities, towns, and neighborhoods where fixer-uppers can become profitable, then relies on automation to pick individual homes. Negri, 31, heads the human team. He spends 150 days a year on the road overseeing Main Street Renewal’s operations from Atlanta to Denver, searching for “sweet spot” neighborhoods that combine affordable rents with a strong middle-income employment base.
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Farid Mheir
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In this report, TDWI uncovers deeper insights that give users new perspectives on business questions. AI will transform BI and the way people make decisions and act. Rather than start with a hypothesis, data analysts will begin with an AI-driven insight. Instead of querying data to prove or disprove their hypothesis, users will query data to expand or validate a machine-generated insight or recommendation—or they might act on the AI-based insight at face value. But to get to that point, AI-infused BI tools will need to gain people's trust by consistently delivering accurate, relevant, and transparent insights within the context of a business user’s existing workflow. In the future, AI-infused BI tools will go beyond just surfacing insights; they will recommend ways to address or fix issues, run simulations to optimize processes, create new performance targets based on forecasts, and take action automatically. And yes, machines will make some decisions for us—especially operational decisions in real-time environments. We see this today with fraud detection and online trading systems, but it will become more pervasive.
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Farid Mheir
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In this report, TDWI uncovers deeper insights that give users new perspectives on business questions. AI will transform BI and the way people make decisions and act. Rather than start with a hypothesis, data analysts will begin with an AI-driven insight. Instead of querying data to prove or disprove their hypothesis, users will query data to expand or validate a machine-generated insight or recommendation—or they might act on the AI-based insight at face value. But to get to that point, AI-infused BI tools will need to gain people's trust by consistently delivering accurate, relevant, and transparent insights within the context of a business user’s existing workflow. In the future, AI-infused BI tools will go beyond just surfacing insights; they will recommend ways to address or fix issues, run simulations to optimize processes, create new performance targets based on forecasts, and take action automatically. And yes, machines will make some decisions for us—especially operational decisions in real-time environments. We see this today with fraud detection and online trading systems, but it will become more pervasive.
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Farid Mheir
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More than 1,300 people mainly working in the tech, finance and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.
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The golden era of AI is here. But how can organizations best harness the technology and integrate it seamlessly into their CRM? This MIT report explores the next-gen powers of AI for CRM. Download the whitepaper for a deep dive on how Salesforce Platform, embedded with Einstein, turns customer data into predictive insights to deliver the most personalized, intelligent experiences for both customers and employees.
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Cutting-edge technology gives a glimpse into the future of how things will get made, and what manufacturers must do to stay relevant.
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Securitas 2018 investor update conference presents the strategy for the future.
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Farid Mheir
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Daisy Intelligence is one such artificial intelligence vendor. The Toronto-based company focuses on retail merchandise planning: promotion, pricing and demand forecasting optimization. We spoke with Gary Saarenvirta, CEO of Daisy Intelligence with the intention of finding answers to the following questions: Why might grocery vendors or supermarkets need AI? How can retailers leverage AI for optimizing merchandising decision making?
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Farid Mheir
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Lors de la soirée du Débat des chefs, bien des choses ont été dites sur Internet, par les électeurs qui suivaient le débat, par les analystes, les sympathisants et même, les partis eux-mêmes. Voici une analyse de ces propos produites par les gens de Semeon Analytics pour chacun des chefs présent lors du débat de jeudi…
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Farid Mheir
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An overview of influencer that inspire me daily when reading the newest trends on digital transformation. Feel free to add your favorite influencer on this list. I personally have no influence on the ranking - a neutral algorithm calculates who has the most impact online. So all fame and blame belongs to the algorithm.
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Workplaces and workflows will change as more people work alongside machines
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As machines increasingly complement human labor in the workplace, we will all need to adjust to reap the benefits.
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...it forces CEOs to rethink how companies execute, with new business processes, management practices, and information systems, as well as everything about the nature of customer relationships. I’m seeing leaders who get this. They’re all over it: they want to launch five transformation initiatives right now; they’re talking to me and every digital leader they know about where the technology threats are coming from; and they’re hiring the best people to advise them. Yet I’m shocked by—even fearful for—the many CEOs I know who seem to be asleep at the switch.
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Farid Mheir
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It may come as no surprise that technology-centric roles stole the show among emerging jobs in the United States, but the prevalence of machine learning and data science roles and skills indicate a shift in the types of technology we can expect to be using in the near future, as well as what professionals should be preparing themselves for. Having an academic background and a comprehensive suite of skills were also strong trends, especially among professionals who are now machine learning engineers and data scientists. Both of these roles are also often held by professionals with 10 years or more of professional experience, so for those just starting out and having trouble landing one of these titles, don’t be discouraged! It’s always a good reminder that soft skills will always be important, no matter the profession. The ability to collaborate, be a leader, and learn from colleagues will stand out in interviews, and even more once starting a job.
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Farid Mheir
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Disruptive technologies are transforming all end-to-end steps in production and business models in most sectors of the economy. The products that consumers demand, factory processes and footprints, and the management of global supply chains are being re-shaped to an unprecedented degree and at unprecedented pace. Industry leaders who were consulted believe that new technological solutions heralded by the Fourth Industrial Revolution – such as advanced robotics, autonomous systems and additive manufacturing – will revolutionize traditional ways of creating value. As the costs of deploying technology continue to fall, international differentials in labour costs will no longer be a decisive factor in choosing the location of production. The resulting greater spatial and temporal flexibility brought about by technology will bring locations of production and sale closer together, and drive major changes in the design of future value and supply chains. These trends will change the shape and form of globalization, and thereby impact the trajectory of goods. Regional and local flows will become more important, to the detriment of intercontinental trade.
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You can learn a lot about an area just from the cars parked on its streets.
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So leaders need to focus on asymmetrical rivals and unlikely allies, on hackers and hobbyists, on rooftop solar panels and 3-D printers. They must also adapt their strategies to the possibility of shared infrastructure, to data that wants to be big, to the implacable embrace-and-extend bear hug of Google and Amazon and the National Security Agency. Conventional business models may be simultaneously too big and too small. How should executives respond? Here are the four major drivers of the new industrial architecture and the key strategic imperatives for companies.
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In an ongoing effort with Boston-area hospitals, including the Boston Medical Center and the Brigham and Women’s Hospital, we found that we could predict hospitalizations due to these two chronic diseases about a year in advance with an accuracy rate of as much as 82%. This will give care providers the chance to intervene much earlier and head off hospitalizations.
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Farid Mheir
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Majority of websites are generic, one-size-fits-all, and unvarying. And email isn’t much better with manual input, static cadences, and fixed content. Marketers and audiences deserve better, though. As big data, artificial intelligence (AI), machine learning, and deep learning become larger influences and more attainable, now is the time for digital marketers to seize upon the potential these technologies offer. Brands can now build custom on-site and email experiences for individuals that are automated and personalized by incorporating predictive modeling, journey mapping, and algorithms.
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Curated by Farid Mheir
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WHY IT MATTERS: data is essential for AI but also all kinds of business intelligence and analytics in the "traditional" world of eCommerce for example. The post brings up some of the elements to consider when planning to cleanse data. Not a trivial task to perform automatically.