You Can Create Free Screen Recordings in Your Browser with Microsoft Stream

Did you know you can create videos from a computer screen–no matter the device? Microsoft Stream lets you easily create, edit and animate videos and then share with certain people; for example, classrooms or districts.

In this bite-sized video, learn tips and tricks on using Microsoft Steam. Watch to learn how to record, edit, and trim video, and also easily add animation.

Your customers can comment, like, and re-share on their social media.

Seattle Seahawks play to win with smart data and intelligent insights

Every professional athlete’s worst fear is a career-ending injury. And each match and training session becomes a gamble in which they risk everything to leave their name in the pages of history. Thing is, having an injury-free career is almost impossible, and as the years pass, the question becomes when they’ll happen instead of if they’ll happen. Such was the case of Seattle Seahawks cornerback Deshawn Shead, who in the Divisional Round of the 2016 playoffs suffered a torn ACL while playing against the Atlanta Falcons.

In this video, you’ll learn the compelling story of how he managed to overcome his injury thanks to the help of incredibly talented medical professionals aided by real-time data collected during his therapy sessions. After watching it, you’ll gain insights into how modern sports teams are using digital tools like Microsoft Azure to complement their medical teams and ensure their athletes enjoy long, successful careers.

Stay connected with Microsoft Azure IoT. Subscribe now.

IoT is easy to understand: it’s about connecting devices over the Internet so they can communicate with us, with other applications, and with each other. But while IoT may be simple to explain, putting an effective IoT strategy into practice is vastly more complex.

Subscribe now to stay up to date on how Microsoft technologies deliver the flexibility and scalability you need to control, monitor, and manage your things, allowing you to capture real-time data that can be applied to uncover new business insights and revenue streams.

View: Stay connected with Microsoft Azure IoT. Subscribe now.

FINNING | Customer Value of Self-Service IoT Apps on the Azure Cloud

Finning, the second largest supplier of Caterpillar machinery in the world, was intent on delivering next-generation, experience-enhancing services to its clients. However, there was something standing in the way: siloed databases that were forcing users to use multiple logins for multiple platforms, resulting in a disjointed and ultimately convoluted practice. Watch this video to learn how Finning used Microsoft Azure Cloud to unify fragmented data sets and streamline its customer journey roadmap.

FINNING | Customer Value of Self-Service IoT Apps on the Azure Cloud

Finning, the second largest supplier of Caterpillar machinery in the world, was intent on delivering next-generation, experience-enhancing services to its clients. However, there was something standing in the way: siloed databases that were forcing users to use multiple logins for multiple platforms, resulting in a disjointed and ultimately convoluted practice. Watch this video to learn how Finning used Microsoft Azure Cloud to unify fragmented data sets and streamline its customer journey roadmap.

Get Help Putting Technology in Your School

When it comes to determining the right technology for your school, there is a lot to consider. This flyer helps prospects understand the whole picture including the costs, benefits and the additional free, learning tools Microsoft offers.

At the bottom of the flyer there is space to include your company logo, a brief description of how you can support onboarding new technology, and a link to your website.

View: Get Help Putting Technology in Your School

Transform your organization with the power of Business Intelligence. Get started with Microsoft Dynamics 365.

The business landscape has changed. Thanks to integrated data platforms and IoT devices, companies are successfully extracting every byte of information from business processes and using it to empower decision makers with accurate information they can use to make strategic decisions.

This is how modern enterprises are capable of predicting market trends with pinpoint accuracy or quickly adapt to those they cannot foresee, and how small and medium-sized businesses are innovating at breakneck speed to rise above the competition to claim their piece of the global market. Regardless of their size, the common takeaway is that transforming data into actionable intelligence has become the top priority of modern organizations.

Subscribe now to stay updated with the latest digital transformation trends and how you can tap into your organization to unlock the power of actionable insights and business intelligence with Microsoft.

View: Transform your organization with the power of Business Intelligence. Get started with Microsoft Dynamics 365.

How Microsoft and Google Measure Up in the Classroom

Use this educational eBook to learn how Microsoft and Google compare in six areas where they are working to support schools in improving student outcomes. Both companies endorse the development of STEM skills, provide tools and training for teachers, offer affordable pricing, and work to ensure student privacy and security. See how Microsoft takes school technology solutions one step further and learn how Microsoft Education is a good fit for your school.

This eBook enables prospects to get a quick glance at the benefits both companies provide through their products and then help them to evaluate the best tools for their needs.

View: How Microsoft and Google Measure Up in the Classroom

The Most Dominant Trends of 2020 in Data Science

Data is the core resource or raw material for businesses. When effectively processed, it helps businesses in making crucial decisions. Most activities and processes are data-driven. So, businesses, over decades, have struggled hard to gain access to high-quality data.

In the last few years, technology has supported businesses in a big way. Therefore, data science has moved from human-centered activities to those empowered by artificial intelligence.

AI and research in data science have brought excellent opportunities for businesses. Yet, the challenge is to utilize the trends in data science for your growth optimally. So, without wasting any more time, I would directly introduce you to the data science trends that you can benefit from in 2020.

1.    Predictive Analytics

Predictive analytics in business existed even from the times when there was hardly any technology to support it. As the market is becoming more and more competitive, predictive analytics is finding its applications in so many areas of business decision making.

First, we must understand what predictive analytics is. In predictive analytics, the stored data and information are analyzed to find patterns, predict future trends, and list the possible outcomes.

Earlier, predictive analytics was a cumbersome process, prone to errors. It was mostly manual and was also not very speedy. Moreover, the results suffered from human interpretation, and thus bias. So, many businesses found it too risky to rely on predictive analytics.

But, over the years, the use of computers, cutting-edge technologies, and high-speed internet haven’t just made it faster, but the results are incredibly accurate and reliable too.

The reason why predictive analytics finds its place in the list of trends in data science is the use of technologies such as AI and ML. These technologies have made analytics easier for vast chunks of data. This information is segmented to identify patterns.

The patterns are compared to existing and past situations. The comparison is also used to assess future trends. As machine learning empowers the system to learn with time, the assessment is becoming near perfect.

Predictive analysis uses data mining. It further extends to predictive data modeling, and ultimately, business intelligence. Business intelligence was traditionally backward interpretive. But now, with predictive analytics becoming more effective, business intelligence is also leveraging its potential. Predictive analytics, enhanced by AI and ML, has brought the most significant breakthrough for businesses in the field of fraud detection, market forecasting, goal setting, strategy building, reducing risks, and disaster management. 

2.    Automation in Data Visualization & Analysis

As IoT is growing in popularity, data modeling and analysis are gaining prominence. These systems generate large volumes of data. And, considering the quality and quantity of data generated from these systems, businesses must leverage all possible benefits from this data.

As the number of connected elements in IoT systems is very high, the data will have to be processed at a very fast pace to derive maximum benefits. So, what should businesses do to utilize the large chunks of data effectively? Well, it’s simple; go for automation! 

ML & AI will help the data models to evolve from personalized to predictive and ultimately advance to prescriptive, offering solutions to businesses. Automation will support this process by reducing errors; as the errors are reduced, the reliability of the data models increases. Also, modeling is speedy. It is also productive even when the data volumes are huge.

Automation will bring a turning point in data science in 2020. As the more cumbersome tasks are automated, data scientists will be able to concentrate on highly specialized tasks, which can lead to great innovation in data sciences.

Automation in data analysis is a must for large businesses who want to use big data for growth. Businesses opting to go for automation in data visualization and analysis should also try the tools available for data visualization and automation.

3.    DataOps

DataOps is an emerging collaborative data management trend. It improves the communication, integration, and automation of data flows across an organization. DataOps is about continuous cross-team collaboration! This makes the business data management more effective as there is a free flow of data without barriers among all the stake-holders.

DataOps also aims at increasing collaboration between the data scientists and technologists to achieve benefits from data more synchronously and appropriately. Augmented data preparation, in DataOps, uses machine learning to discover new sources, patterns, and anomalies in data. And, it has little to no human intervention required. So, the delays, dependencies, and errors are reduced to a large extent.

In 2020, both DataOps and data analysis automation will help each other grow. As businesses are adopting DataOps, they will require data automation. And, better the data automation, more effective will be your DataOps. AI-driven data analytics with further strengthen your DataOps initiatives. 

4.    Data as Service

Inspired by software-as-service and infrastructure-as service, now the trend of data-as-service is gathering pace. DaaS is backed by the cloud to deliver flexible data storage, processing, and sharing. 

Top benefits of the data-as-service model include less time to set up, better functionality, flexibility, fewer costs, automated maintenance, improved access to data, and less human intervention. Also, the authenticity of information is maintained as there is a single, secure point of update.

Quicker data sharing, therefore, increases productivity in the organization. 5G is a reinforcement to this. With increasing internet speeds, there is no looking back!

Data security, privacy, and proprietary issues are always some of the prime concerns associated with data as a service model. Though the service providers are working hard to mitigate the fears, a lot remains to be achieved in this matter.

Wrapping Up!

As data science progresses to 2020, you can expect so many transformations in the way businesses manage data. Obviously, the changes will involve some challenges for businesses. The first is the modified human resource needs that lead to different human resource requirements.

Highly skilled data scientists are hard to find and retain as their demand is very high. But, technology advances will make your data management so powerful that you won’t have to concentrate on trivial tasks. And you can hire professional data analytics services too.

The second major challenge that the data science trends of 2020 will bring is the security of data. But, so much research is being done in this area. And the state of security is expected to get better with technology, over time.

No, you can’t waste any more time. Despite the challenges, you must keep yourself prepared to welcome the trends in data science. 2020 is almost there. So, start building your strategies now, and advances in data science are there to support you!

You have a list of trends in data science for 2020, and it is upto you to grab this opportunity!

Author Bio

Jin Markov is a Content Writer with GoodFirms, a research firm in the USA. He has expertise in writing on data science.

Tips to avoid drowning in data

With the coming of digital transformation and IoT, businesses have begun a race to obtain more data from their customers and business processes. This may seem like amazing news until you realize that out of the 7.5 septillion bytes of data produced each day, most of it provides little or no value to generate actionable intelligence that can influence or alter a company’s bottom line. This means that carefully selecting and curating data is just as important as building the infrastructure needed to obtain it.

Read this article to learn how collecting unnecessary data can negatively impact your business and to gain insights into how you can better filter data to enable the creation of revenue-generating opportunities.

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