Collaborating Authors


Microsoft brings RPA to Windows 10 with new Power Platform products


Microsoft announced AI-focused Power Platform products at its Microsoft Ignite 2021 conference, which kicked off in earnest today. Among the highlights is Power Automate Desktop for Windows 10 users, a robotic process automation service (RPA) that automates tasks within Windows across various apps. New Power Virtual Agents features were also unveiled. RPA -- technology that automates monotonous, repetitive chores traditionally performed by human workers -- is big business. Forrester estimates that RPA and other AI subfields created jobs for 40% of companies in 2019 and that a tenth of startups now employ more digital workers than human ones.

PayScale and Payfactors Join Forces to Create Compensation Technology and Data Powerhouse


Today PayScale, the industry leader in compensation data and technology, and Payfactors, a leading compensation data management company with deep industry expertise, announced that they have merged. Together, the combined company will become one of the largest providers of its kind in North America to help job seekers, employees and businesses get pay right. "Compensation and pay equity strategies are shifting even further on to the C-Suite agenda given the accelerated shift to remote and hybrid work and the overwhelming importance of the social justice movement," said Scott Torrey, CEO, PayScale. "Together, the PayScale leadership team's experience running SaaS businesses at scale combined with Payfactors' deep compensation expertise creates the optimal set of capabilities to offer faster paced innovation to get pay right today and in the future for even the largest of organizations." Both companies have built deep relationships with organizations and individuals by helping people navigate the increasingly complex compensation landscape.

Brazil expands government IT spending optimization model


A procurement model focused on driving taxpayer savings on IT purchases is gathering momentum in the Brazilian government, as the legislative branch becomes the latest to adopt the approach. By reducing spend and establishing a price ceiling in tendering processes, the model is expected to deliver savings of 23%, or 71.4 million reais (US$ 12,6 million) to the Brazilian government in Microsoft products alone within five years. The estimate relates to the amount paid in contracts with the company over the last five years, of 305 million reais (US$ 54 million). COVID-19 has accelerated trends like remote work and digital transformation, and forced IT leaders to adapt their budgets accordingly. Our Tech Budgets 2021 special feature examines how business leaders are spending their tech dollars.

Sponsored post: Automation and AI are changing business: Will you iterate or innovate?


If 2020 was the year that forced the acceleration of digital transformation, this year will be the year that tests which companies can reimagine the new rules of business and find opportunities to innovate. Atop the list of technologies driving this change are artificial intelligence (AI) and automation, which together enable companies to accelerate productivity and augment customer and employee experiences. While most get that AI and automation are keys to future scale and optimization, many don't realize the potential to reimagine the future of work and business through operational and business model innovation. While some companies are using technology to incrementally make existing systems and processes more efficient, others are finding ways to introduce entirely new customer and employee experiences that unlock new business value. With this vision, businesses can alter their trajectory and explore the art of the possible.

Changes Go Far Beyond Just AI, Machine Learning


SambaNova Systems is a technology startup founded in 2017 by a group of far-sighted engineers and data scientists who saw that the current approaches to AI and machine learning were beginning to run out of steam, and that an entire new architecture would be necessary in order to make AI accessible for everyone as well as deliver the scale, performance, accuracy and ease of use needed for future applications. AI and machine learning in particular have grown over the past decade to become key tools for processing and making sense of large and complex data sets. This trend is set to continue, with IDC forecasting that the overall AI software market will approach $240 billion in revenue in 2024, up from $156 billion in 2020. But AI is no longer just for supercomputing. The volumes of data collected by organizations have become large and complex data sets, leading to machine learning being incorporated into all manner of applications from natural language processing (NLP), high-resolution computer vision, recommendations and high performance computing (HPC) to everyday business processes.

Global Artificial Intelligence in IoT Market : IBM, Microsoft, Google, PTC, AWS, Oracle, GE, Salesforce, SAP, Hitachi, etc. – The Bisouv Network


Gauging through Scope: Global Artificial Intelligence in IoT Market, 2020-26 A new report defining the global Artificial Intelligence in IoT market offers readers with vivid details on current and most recent industry developments along with futuristic predictions that allow players to recognize exact vendor initiatives, end-user preferences and purchase decisions along with profitability. The report delivers pertinent details on strategic planning and tactical business decisions that influence and stabilize growth prognosis in global Artificial Intelligence in IoT market. The report in its opening section introduces the global Artificial Intelligence in IoT market, featuring market definitions, overview, classification, segmentation, inclusive of market type and applications followed by product specifications, manufacturing initiatives,pricing structures, raw material sourcing and the like. Following this, the report also focuses and analyzes the main regional market conditions followed by a global assessment. Vendor Landscape The report draws references of an extensive analysis of the Artificial Intelligence in IoT market, entailing crucial details about key market players, complete with a broad overview of expansion probability and expansion strategies.

Project-Based Learning


Did you know Education Ecosystem is like GitHub on video for developers? It is project-based learning ecosystem that teaches you how to build products using real project examples in fields of AI, programming, data science, design, game development, cryptocurrency and cybersecurity.

Newbie's Deep Learning Tutorial: Learn Keras Machine Learning


Keras is a high-level API, which is aimed to build and train deep learning with Python. This tutorial is created by data scientist and app developer Nimish Narang, which already created more than 20 Mammoth Interactive courses - online tutorials about the web, app, and game development. Python deep learning tutorial is for you if you want to learn the concept of machine learning with practical tasks using Keras, Python, and PyCharm. Any person who understands that technologies shape the way of communication should enroll in this deep learning tutorial for beginners as well. Trust me, after completing this course, new possibilities will open up, as you'll get a new set of skills on new technologies, which are the skills that many employers are looking for. So don't wait up and enroll in this Python machine learning tutorial right away!

Alfi - Enterprise SaaS Powered by Artificial Intelligence


We are an innovative big data company specializing in artificial intelligence and machine learning. Alfi uses computer vision incorporating custom built, ultra-precise, proprietary models to capture customer demographics and sentiment. The combination of our models with high levels of visualization accuracy allows Alfi unparalleled insight into human behaviour. With real-time metrics we are able to capture big data and deliver analytical reporting real time.

How Machine Learning is Being Used in Software Delivery


Software delivery is a continuous process for most modern software teams On any given day, new code is being written, old code is refactored, third-party libraries are added and removed, external APIs are integrated, and plenty more. Software delivery is no longer an explicit stage at the end of development, but instead, it is a continual procedure within the daily development process, with deployments occurring daily or even hourly. Machine learning processes are now more than ever being applied to software deployment to save time and optimize processes so that software companies can continue to develop and deploy efficiently. What