Tag: #technicalwriting

101, Bandwidth, Digital Platforms, Mentoring, Moving Forward, SFP, Technology

Overview: Riedel’s Line of Products

Today I’m going to give an overview of Riedel Communications.  I do not work for them, nor have I been paid by them for this article.

Riedel Communications is a company that provides innovative solutions for the broadcast, event, and AV industries. Riedel’s line of products includes a range of solutions for streaming and connecting disparate systems, including:

1. MediorNet – A real-time network for video, audio, and data signals. This solution enables the transport and processing of signals over fiber-optic, coaxial, or CatX cables. MediorNet can be used for point-to-point connections, as well as complex network topologies.

2. Artist – A digital matrix intercom system that enables communication between different locations and production teams. The Artist system can be used for traditional intercom applications, as well as for signal routing and distribution in broadcast and live event productions.

3. Bolero – A wireless intercom system that provides high-quality audio and reliable connectivity. Bolero allows for up to 10 beltpacks to be connected to a single antenna, providing coverage over large areas.

4. SmartPanel – A user-friendly intercom panel that can be used with the Artist and Bolero systems. SmartPanel features a touchscreen interface and can be customized to meet the needs of different production teams.

5. MicroN – A compact signal router for video and audio signals. MicroN can be used for point-to-point connections, as well as for routing signals in broadcast and event productions.

6. STX-200 – A solution for converting SDI signals to IP signals. STX-200 enables the integration of traditional broadcast workflows with IP-based workflows.

Riedel’s products are designed to provide flexibility, scalability, and reliability for streaming and connecting disparate systems. The company’s solutions are used in a range of applications, including broadcast, live events, sports, and corporate AV. Some of the features and specs of Riedel’s products include:

– High-quality audio and video signals
– Reliable connectivity over long distances
– Scalability for small and large productions
– User-friendly interfaces for easy operation
– Customizable configurations to meet specific needs
– Support for a range of protocols and standards, including SMPTE, Dante, and AES67

Overall, Riedel’s line of products provides innovative solutions for streaming and connecting disparate systems. The company’s products are designed to meet the needs of different production teams and can be customized to meet specific requirements.

Riedel’s programmable SFPs (Small Form-Factor Pluggable) are part of the MediorNet line of products. SFPs are modular components that can be inserted into MediorNet frames and other devices to enable the transport of video, audio, and data signals over fiber-optic, coaxial, or CatX cables.

Riedel’s programmable SFPs are designed to provide flexibility and customization for different applications. The SFPs can be programmed with different signal types and protocols, including 3G/HD/SD-SDI, MADI, AES, and Ethernet. This allows users to configure their MediorNet systems to meet specific requirements.

Some of the features and specs of Riedel’s programmable SFPs include:

– Support for a range of signal types and protocols
– Programmable with Riedel’s MediorWorks software or third-party software
– Hot-swappable for easy configuration and maintenance
– Automatic signal detection and configuration
– Low power consumption and compact size

Riedel’s programmable SFPs are used in a range of applications, including broadcast, live events, sports, and corporate AV. By enabling the transport of different signal types over a single network, these SFPs provide a flexible and cost-effective solution for video, audio, and data transport.

101, AI, Best Practices, Career, Coding, Collaboration, Digital Platforms, Mentoring, Moving Forward, Project & Production Management, publishing, Quality Control, SQL, Success, Teamwork, Technology

Quick Overview: Checksum / How it’s Utilized & How to Use Them

A checksum is a value that is computed from a block of data using a specific algorithm. The purpose of a checksum is to provide a way to verify the integrity of the data. When a sender transmits data, it can compute a checksum and include it with the data. The receiver can then compute a checksum on the received data and compare it to the transmitted checksum. If the two values match, it is likely that the data was transmitted without errors.

Checksums are used in a variety of applications, including network protocols, file transfers, and software updates. They are particularly useful in situations where data corruption or errors are likely to occur, such as over unreliable network connections.

In network protocols, checksums are often used to detect errors in data packets. For example, the Mo of each IP packet. If the checksum indicates that the packet is corrupted, it can be discarded and a new packet can be requested.

In file transfers, checksums are used to verify that the file was transferred correctly. After a file is transferred, the sender can compute a checksum on the file and include it with the file. The recipient can then compute a checksum on the received file and compare it to the sender’s checksum. If the two values match, it is likely that the file was transferred without errors.

In software updates, checksums are used to verify that the update was downloaded correctly. After a software update is downloaded, the user can compute a checksum on the downloaded file and compare it to the checksum provided by the software vendor. If the two values match, it is likely that the update was downloaded correctly.

Overall, checksums are an important tool for ensuring the integrity of data in a variety of applications.

In broadcasting, checksums are often used in conjunction with SCTE markers to ensure the integrity of the video and audio streams. For example, SCTE-35 markers are used to signal ad insertion points in a video stream. When an ad break is signaled, the receiver can use a checksum to verify the integrity of the video data before and after the ad break. If the checksum indicates that the video data has been corrupted, the receiver can request a retransmission of the video data.

Similarly, checksums can be used to verify the integrity of audio data in a broadcast stream. For example, if an audio stream includes a checksum value, the receiver can use the checksum to verify that the audio data has not been corrupted during transmission.

Overall, checksums are an important tool for broadcasters to ensure the quality and integrity of their broadcast streams. By using checksums in conjunction with SCTE markers, broadcasters can provide a more reliable and consistent viewing experience for their audiences.

AI, Best Practices, Career, Coding, Collaboration, Digital Platforms, Employment, Hacking, Mentoring, Project & Production Management, publishing, Queries, Technology

Quick Overview: API Calls-What Are They & What Is The Workflow?

API stands for Application Programming Interface. An API call is a request made by one software application to another application’s API in order to retrieve or manipulate data. APIs enable different software applications to communicate with each other, allowing developers to integrate different services and functionalities into their own applications.

API calls work by sending a request to the API, specifying the endpoint and any required parameters. The API processes the request and returns a response back to the calling application. The response can include data, metadata, or error messages, depending on the specific API.

APIs are used in a variety of applications, including web and mobile applications, IoT devices, and enterprise software. For example, social media platforms like Twitter and Facebook provide APIs that allow developers to access and manipulate user data, such as posts or tweets. E-commerce platforms like Shopify provide APIs that enable developers to build custom applications that interact with the platform’s inventory and customer data.

APIs are also used to integrate different software applications in enterprise settings. For example, an API can be used to connect a customer relationship management (CRM) system to a marketing automation platform, allowing marketing teams to access customer data and automate targeted campaigns.

Overall, APIs are a powerful tool for software developers, enabling them to build more complex and sophisticated applications by integrating different services and functionalities. Users can select GPT-3.5(ChatGPT) or GPT-4 to interact with me.

Building an API from scratch typically involves several steps. Here’s a general overview of the process:

1. Define the API endpoints: Determine the specific functionality and data that will be exposed through the API. This includes identifying the specific endpoints that will be used to access the data.

2. Choose a programming language: Select a programming language that is well-suited for building APIs, such as Python, Ruby, or Node.js.

3. Choose a web framework: Choose a web framework that supports building APIs, such as Flask, Django, or Express.

4. Design the API data model: Create a data model that defines the data that will be exchanged through the API, including the data types and relationships between different data entities.

5. Implement the API endpoints: Use the chosen web framework and programming language to implement the API endpoints, including handling request and response data.

6. Test the API: Use API testing tools to verify that the API endpoints are working as expected and returning the correct data.

7. Deploy the API: Deploy the API to a server or cloud hosting service so that it can be accessed by other applications.

8. Document the API: Create documentation that describes the API endpoints, parameters, and data structures so that other developers can use the API.

Overall, building an API from scratch can be a complex process that requires a solid understanding of programming, web frameworks, and data modeling. However, there are many resources available online that can help guide you through the process. Users can even utilize AI, ChatGPT 3.5/4 to assist the process.

101, Agile, Best Practices, Career, Digital Platforms, Employment, Mentoring, Technology

Broadcast Streaming Technology 101: The Basics

Broadcast streaming technology has revolutionized the way we consume media content. It has made it possible to distribute audio and video content to a large audience across the globe in real-time. In this blog, we’ll explore the basics of broadcast streaming technology and how it works.

Broadcast streaming technology is a way of transmitting audio or video content over the internet in real-time. It allows users to access live content from anywhere in the world, using a variety of devices such as smartphones, tablets, laptops, and smart TVs. In essence, broadcast streaming technology makes it possible to deliver live content to a global audience with minimal latency.

To understand how broadcast streaming technology works, we must first understand the difference between streaming and downloading. When we download a file, we save it to our local device and can access it at any time, even without an internet connection. On the other hand, when we stream content, we access it in real-time, typically through a browser or app, without downloading it to our device.

One of the broadcast streaming technologies uses a protocol called Real-Time Messaging Protocol (RTMP) to transmit live content from the source to the end-user. The RTMP protocol is a low-latency protocol, which means that it minimizes the delay between the time the content is broadcast and the time it reaches the end-user.

To broadcast content using RTMP, a video encoder is used to capture the audio and video content and convert it into a digital format. The encoded content is then sent to a streaming server, where it is stored and distributed to the end-users.

One of the key benefits of broadcast streaming technology is its ability to scale. Streaming servers can handle large amounts of traffic and distribute content to a large number of users in real-time. This makes it possible to broadcast live events, such as sports matches, concerts, and conferences, to a global audience.

Another benefit of broadcast streaming technology is its ability to personalize content. Streaming technology allows for targeted advertising, which means that advertisers can deliver ads to specific audiences based on their interests and demographics. This makes advertising more effective and helps content creators monetize their content.

In recent years, broadcast streaming technology has become more accessible to content creators and businesses of all sizes. Many streaming platforms, such as YouTube Live, Facebook Live, and Twitch, offer free or low-cost streaming services that allow users to broadcast live content to their audiences. This has made it easier for small businesses, influencers, and content creators to reach a global audience.

In conclusion, broadcast streaming technology has transformed the way we consume media content. It has made it possible to broadcast live content to a global audience in real-time, making it easier for businesses and content creators to reach their target audience. As technology continues to evolve, we can expect broadcast streaming technology to become even more accessible and user-friendly, allowing for more personalized and engaging content experiences.

Bandwidth, Best Practices, Career, Digital Platforms, Mentoring, Technology

Video Streaming Protocols: RTMP, RTSP, SRT, & NDI: How They are Consumed

RTMP, RTSP, SRT, and NDI are all different protocols used for streaming audio and video content over the internet. Each protocol has its own unique features and advantages. In this response, we’ll explore what each protocol is, how it works, and how it’s consumed.

RTMP (Real-Time Messaging Protocol) is a proprietary protocol developed by Adobe. It’s commonly used for streaming video content on platforms like YouTube and Twitch. To use RTMP, you need a video encoder, which captures the audio and video content and compresses it into a digital format. The encoded content is then sent to a streaming server, which distributes the content to the end-users. RTMP has been widely used in the past, but it’s gradually being replaced by more modern protocols like SRT and NDI.

RTSP (Real-Time Streaming Protocol) is an open-source protocol used for streaming audio and video content. It’s commonly used for security cameras and other surveillance systems. To use RTSP, you need an RTSP server, which stores the audio and video content and distributes it to the end-users. RTSP is widely used in the security industry because it supports real-time streaming and is compatible with a wide range of devices.

SRT (Secure Reliable Transport) is an open-source protocol that was designed to address some of the issues with RTMP. SRT is a low-latency protocol that’s optimized for live streaming. It’s designed to work over unreliable networks, which means that it can deliver high-quality audio and video content even in poor network conditions. To use SRT, you need an SRT encoder, which compresses the audio and video content and sends it to an SRT receiver, which decodes the content and distributes it to the end-users.

NDI (Network Device Interface) is a proprietary protocol developed by NewTek. It’s commonly used for streaming video content in the professional production industry. NDI allows you to add multiple video sources to a single network and stream them to multiple devices. To use NDI, you need an NDI-enabled device, such as a camera or a video encoder. The NDI-enabled device sends the audio and video content to an NDI receiver, which decodes the content and distributes it to the end-users.

In terms of consumption, each protocol can be consumed using a variety of devices, such as smartphones, tablets, laptops, and smart TVs. To consume RTMP content, you’ll need a media player that supports the protocol, such as Adobe Flash Player or VLC Media Player. To consume RTSP content, you’ll need an RTSP client, such as IP Camera Viewer or VLC Media Player. To consume SRT content, you’ll need an SRT player, such as Haivision Play or VLC Media Player. To consume NDI content, you’ll need an NDI-enabled device, such as an NDI-enabled camera or an NDI-enabled video encoder.

In conclusion, RTMP, RTSP, SRT, and NDI are all different protocols used for streaming audio and video content over the internet. Each protocol has its own unique features and advantages. The choice of protocol depends on the specific needs of the user, such as the type of content being streamed and the quality of the network connection.

AI, Best Practices, Career, Digital Platforms, Employment, Life Choices, Mentoring, Moving Forward, Project & Production Management, Technology

Broadcasting Standards: Utilizing AI with SCTE-35, SCTE-104

SCTE markers are metadata tags that are inserted into a video stream to signal specific events or actions, such as ad insertion points. DAI stands for Dynamic Ad Insertion, which is a technology that enables the insertion of targeted ads into live or on-demand video streams. Users can now elect to use or interact with AI bots like GPT-3.5/GPT-4 to even further automate these processes.


There are several SCTE standards that define SCTE markers for different use cases. For example, SCTE-35 defines markers for digital program insertion (DPI) and SCTE-104 defines markers for ad insertion. The specific SCTE markers used for DAI will depend on the implementation.

AI can help the process of dynamic ad insertion by analyzing data to identify patterns and make predictions about viewer behavior. Here are a few ways AI can be used:

1. Predicting viewer preferences: AI can analyze data about viewer behavior, such as which ads they tend to skip, and use that information to predict which ads will be most effective for a particular viewer.

2. Optimizing ad placement: AI can analyze data about viewer behavior to determine the optimal placement of ads within a video stream, such as which ad formats are most effective at different points in the video.

3. Targeting ads to specific audiences: AI can analyze data about viewer demographics and behavior to identify specific audience segments and deliver targeted ads to those segments.

4. Creating personalized ads: AI can analyze data about individual viewers to create personalized ads that are more likely to be effective.

Overall, AI can help make the process of dynamic ad insertion more efficient and effective by using data to make smarter decisions about ad placement and targeting.

Best Practices, Career, Collaboration, Digital Platforms, Employment, Mentoring, Moving Forward, Project & Production Management, Teamwork, Technology

MAM vs DAM – A Quick Comparison

MAM and DAM systems are both used for managing digital assets, but there are some differences between them.

1. Mam (Media Asset Management) System – A MAM system is a software solution that provides centralized management of digital media assets such as videos, images, and audio files. It offers features such as asset ingestion, organization, metadata management, search and retrieval, and workflow automation. The MAM system is used primarily by media and entertainment companies to manage their content libraries and make it easier to find and access files.

2. DAM (Digital Asset Management) System – A DAM system is a software solution that provides centralized management of digital assets such as documents, images, videos, and audio files. It offers features such as asset ingestion, organization, metadata management, search and retrieval, and workflow automation. The DAM system is used by a variety of companies to manage their digital assets, including marketing collateral, product images, and other digital content.

The key difference between MAM and DAM systems is the type of assets they are designed to manage. MAM systems are primarily focused on managing media assets, while DAM systems are designed to manage a broader range of digital assets. Additionally, MAM systems are often used by media and entertainment companies, while DAM systems are used by a variety of organizations across different industries.

It is worth noting that some companies may use the terms MAM and DAM interchangeably, and the features and capabilities of these systems can vary depending on the specific vendor and product. Ultimately, the choice between a MAM or DAM system will depend on the specific needs and requirements of the organization, and it is recommended to evaluate the features, capabilities, and pricing of each solution before making a decision.

AI, Bandwidth, Best Practices, Career, Collaboration, Digital Platforms, events, gaming, Mentoring, Moving Forward, Project & Production Management, SFP, Success, Technology

Quick Guide: Broadcast Technology – SFPs: Hot-Swappable Transceivers

An SFP (Small Form-factor Pluggable) is a hot-swappable transceiver that allows for flexible optical or copper connectivity in various applications such as A/V, theatre, and TV production. It is commonly used for transmitting high-speed data via fiber optic cables.

There are many companies that offer SFPs, including Cisco, Juniper Networks, HP, Dell, and many more (see below). The features and specs of an SFP will vary depending on the manufacturer and the specific model. However, some common features of SFPs include data rates of up to 10 Gbps, support for various protocols such as Ethernet, Fibre Channel, and SONET/SDH, and compatibility with various types of fiber optic cables.

Additionally, SFPs may come in different form factors such as LC, SC or ST connectors, and can support either single-mode or multi-mode fibers. Some SFPs may also support extended temperature ranges for use in harsh environments. It’s important to note that the specific features and specs of an SFP will depend on the application and the specific requirements of the user.

Companies that offer SFPs and their features and specs:

1. Cisco – Cisco offers a range of SFP modules for their switches and routers. Cisco’s SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

2. Juniper Networks – Juniper Networks offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

3. HP Enterprise – HP Enterprise offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

4. Netgear – Netgear offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

5. Dell EMC – Dell EMC offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

6. Allied Telesis – Allied Telesis offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

7. Black Box – Black Box offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

8. Brocade – Brocade offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

9. Extreme Networks – Extreme Networks offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

10. Finisar – Finisar offers SFPs for a range of applications, including data center, telecommunications, and industrial. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

11. Mellanox – Mellanox offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and InfiniBand.

12. Molex – Molex offers SFPs for a range of applications, including data center, telecommunications, and industrial. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

13. TP-Link – TP-Link offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

14. Transition Networks – Transition Networks offers SFPs for a range of applications, including data center, telecommunications, and industrial. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

15. Ubiquiti Networks – Ubiquiti Networks offers SFPs for their switches and routers. The SFPs support a range of interfaces, including Gigabit Ethernet, Fibre Channel, and SONET/SDH.

16. Riedel – Riedel’s MediorNet SFPs, for example, are designed specifically for use with their MediorNet media network system. These SFPs support various protocols such as Ethernet, SDI, and MADI, and are available in various formats such as single-mode, multi-mode, CWDM, and DWDM.

In addition, Riedel also offers SmartPanel SFPs, which allow for flexible connectivity between SmartPanels and other systems such as the MediorNet media network. These SFPs support data rates of up to 10 Gbps and are available in various formats such as LC or SC connectors.

It’s important to note that while Riedel’s SFPs are designed for their specific systems, they still adhere to industry-standard protocols and can be used with other systems as well.

Overall, SFPs from different companies offer a range of features and specs depending on the application and interface type. Some common features of SFPs include hot-swappability, automatic signal detection and configuration, and low power consumption. It is important to select the right SFP for your specific application and ensure compatibility with your switch or router.

Best Practices, Career, events, gaming, Golf, Life Choices, Sports, Success, Teamwork, Technology

Quick Overview Sports Graphics

There are several broadcasting sports live-action tracking devices that are used to track the performance of athletes during live sporting events. Here are some of the most popular broadcasting sports live-action tracking devices and their graphics:

1. Hawk-Eye: Hawk-Eye is a widely used tracking device in sports such as baseball, tennis, cricket, and football. It uses a combination of cameras and algorithms to track the trajectory of the ball and player movement. The graphics in Hawk-Eye are highly advanced, providing viewers with various angles and replays of the action.

2. SportVU: SportVU is a tracking device that is widely used in basketball. It uses six cameras mounted on the rafters of the stadium to track the movement of players and the ball. The graphics in SportVU are highly detailed, providing viewers with information such as player speed, distance covered, and shot trajectories.

3. Prozone: Prozone is a tracking device that is widely used in football. It uses a combination of cameras and software to track the movement of players on the pitch. The graphics in Prozone are highly detailed, providing viewers with information such as player heat maps, passing networks, and goal-scoring opportunities.

4. Catapult: Catapult is a tracking device that is widely used in various sports such as football, rugby, and basketball. It uses wearable sensors that are attached to players to track their movement and performance. The graphics in Catapult are highly customizable, allowing coaches and analysts to track specific performance metrics.

5. Golf: Golf has been using tracking devices for several years now, and one of the most popular devices is ShotLink. ShotLink uses lasers and cameras to track the movement of the ball and players during a golf tournament. The graphics in ShotLink are highly detailed, providing viewers with information such as shot distance, ball speed, and spin rate.

• TrackMan technology is another popular tracking device used in football and golf. It uses radar technology to track the movement of the ball, providing detailed data on ball flight and accuracy. 

For Golf TrackMan can also provide information on clubhead speed, ball spin rate, launch angle, and more. Additionally, it can provide a 3D representation of the ball flight, allowing players and coaches to analyze and optimize their shots.

The graphics in TrackMan are highly detailed, providing golfers with information such as shot distance, ball speed, and spin rate. This information helps golfers to better understand their shots and make adjustments to their swing and club selection.

Overall, TrackMan technology has become an essential tool for golfers, providing them with detailed data and graphics to help improve their game.

6. Baseball: Baseball uses a tracking device called Statcast, which uses a combination of cameras and radar to track the movement of the ball and players during a game. The graphics in Statcast are highly detailed, providing viewers with information such as pitch speed, launch angle, and exit velocity. Additionally, Statcast can also track the defensive positioning of players on the field.

Football has multiple tracking devices that are used to provide detailed data and graphics during live events. Here are some popular football tracking devices:

1. STATSports: STATSports is a wearable tracking device that is used to track the movement and performance of football players. It uses GPS and accelerometers to track player movement, providing data on distance covered, speed, and heart rate. The graphics in STATSports are highly detailed, providing coaches and analysts with information on player performance and fatigue.

2. Zebra Technologies: Zebra Technologies is a tracking device that is used to track player movement and performance during a football game. It uses RFID tags that are placed inside player shoulder pads to track their movements on the field. The graphics in Zebra Technologies are highly detailed, providing coaches and analysts with information on player speed, distance covered, and more.

3. ChyronHego: ChyronHego is a tracking device that uses cameras and software to track player movement and performance during a football game. The graphics in ChyronHego are highly customizable, allowing coaches and analysts to track specific performance metrics such as passing accuracy, tackles, and interceptions.

Track and field also use tracking devices to provide viewers with detailed data and graphics during live events. One of the most popular tracking devices used in track and field is called Omega Timing.

1. Omega Timing uses a combination of cameras, sensors, and timing technology to track the movement of athletes during a race. The graphics in Omega Timing are highly detailed, providing viewers with information such as race times, split times, and finishing positions. Additionally, Omega Timing can also track the performance of athletes in field events such as the long jump and high jump.

Overall, Omega Timing has become an essential tool for track and field events, providing viewers with detailed data and graphics to enhance their viewing experience.

Broadcasters utilize various brands, models, and features for their sports broadcasting graphics and lower-third generators:

1. ChyronHego:
– LyricX: Provides real-time 3D graphics, video clips, and animations, as well as advanced data visualization tools.
– Prime: Offers a streamlined workflow for creating and delivering graphics, as well as a variety of templates and design tools.
– CAMIO: Allows for centralized management of graphics and content, as well as integration with third-party data sources.

2. Ross Video:
– XPression: Provides real-time 3D graphics and animation, as well as support for virtual sets and augmented reality.
– Inception: Offers a web-based platform for creating and delivering graphics, as well as social media integration and playlist management.
– DashBoard: Allows for remote control and monitoring of graphics and production equipment, as well as customizable user interfaces.

3. Vizrt:
– Viz Trio: Provides real-time 2D and 3D graphics, video clips, and animations, as well as support for virtual sets and augmented reality.
– Viz One: Offers a centralized media asset management system, as well as tools for creating and delivering graphics and video content.
– Vizrt Social TV: Allows for integration with social media platforms and real-time data visualization.

4. Avid:
– Maestro | Designer: Provides real-time 3D graphics and animation, as well as support for virtual sets and augmented reality.
– Maestro | Live: Offers a web-based platform for creating and delivering graphics, as well as support for social media integration and data visualization.
– Maestro | News: Allows for centralized management of graphics and content, as well as integration with third-party data sources.

Overall, these graphics and lower-third generators are chosen for their advanced capabilities, ease of use, and integration with other production equipment and software. Each of these solutions has its own unique features and advantages, allowing broadcasters to create high-quality graphics and lower-thirds that enhance the viewer experience during a live sports broadcast.

#cloud, Agile, AI, Career, Coding, Collaboration, Digital Platforms, Employment, Hacking, Mentoring, Project & Production Management, Smartsheets, Success, Teamwork

Smartsheets: Why You Need to Start Using them Now!

Smartsheet is a cloud-based project management and collaboration tool that enables teams to work together more efficiently. It provides a flexible and customizable platform for managing projects, tracking progress, and communicating with team members. Some of the features and benefits of Smartsheet include:

1. Customizable templates – Smartsheet offers a range of pre-built templates for different types of projects, including marketing campaigns, event planning, and project management. These templates can be customized to meet the specific needs of your team.

2. Collaboration tools – Smartsheet enables team members to collaborate in real-time on projects, share files, and communicate with one another. It also supports commenting and discussion threads, making it easy to keep track of conversations and feedback.

3. Automated workflows – Smartsheet offers automated workflows for repetitive tasks, such as sending notifications or requesting approvals. This can help streamline processes and save time.

4. Gantt charts – Smartsheet offers customizable Gantt charts for visualizing project timelines and dependencies. This can help teams stay on track and ensure that deadlines are met.

5. Resource management – Smartsheet offers tools for managing resources, such as team members, equipment, and materials. This can help teams allocate resources more effectively and avoid overbooking.

6. Mobile app – Smartsheet offers a mobile app for iOS and Android devices, enabling team members to access and update projects on the go.

To use Smartsheet, you can start by creating a new sheet or using one of the pre-built templates. You can then add columns and rows to organize your data and tasks. Smartsheet supports a range of data types, including text, dates, and attachments. You can also add formulas and conditional formatting to automate calculations and highlight important information.

Once you have set up your sheet, you can invite team members to collaborate and assign tasks. Smartsheet offers tools for tracking progress, such as percent complete and status indicators. You can also set up automated workflows for notifications and approvals.

You can program smart sheets with AI using various programming languages and frameworks such as Python and TensorFlow. There are also various software platforms and tools available that allow you to create AI-powered smart sheets without any coding, such as SmartSheet, SheetIQ, and Sheetgo. These platforms use AI and machine learning algorithms to automate data entry, analysis, and reporting, making it easier for you to manage and manipulate data in your spreadsheets.

Smartsheet provides a flexible and customizable platform for managing projects and collaborating with team members. Its range of features and tools can help teams stay organized, streamline processes, and improve communication

SmartSheet, SheetIQ, and Sheetgo, their features, specs, and how you can use them for notifications in redundant workflows:

1. SmartSheet: SmartSheet is a web-based project management and collaboration tool that allows you to create, manage, and automate workflows using a drag-and-drop interface. Some of its key features include:

– Customizable templates for various project types

– Real-time collaboration and commenting

– Automated workflows using conditional logic and notifications

– Integration with other tools such as Microsoft Office, Google Drive, and Salesforce

– Reporting and analytics

• SmartSheet can generate automated notifications for redundant workflows using its conditional logic and notification features. For example, you can set up a notification to be sent to a team member when a task is due or when a project status changes. SmartSheet also has a mobile app that allows you to receive notifications on-the-go.

• SmartSheet uses machine learning algorithms to automate data entry and analysis. For example, it can recognize patterns in data and make predictions based on historical trends. It can also use natural language processing to extract information from unstructured text and automatically populate fields in a spreadsheet.

• To set up SmartSheet’s automation features, you can use its drag-and-drop interface to create workflows that include conditional logic and notifications. For example, you can set up a workflow that automatically sends an email notification to a team member when a certain condition is met, such as a task being completed or a deadline approaching.

2. SheetIQ: SheetIQ is an AI-powered add-on for Google Sheets that allows you to automate data entry, analysis, and reporting using natural language commands. Some of its key features include:

– Natural language processing for data entry and analysis

– Automated reporting and charts

– Integration with other Google Sheets add-ons and tools

• SheetIQ can generate automated notifications for redundant workflows using its natural language processing and automation features. For example, you can set up a notification to be sent to a team member when a certain condition is met, such as a drop in sales or an increase in customer complaints.

• SheetIQ uses natural language processing and machine learning algorithms to automate data entry and analysis. For example, it can understand natural language commands and use them to automatically populate fields in a spreadsheet. It can also generate charts and reports based on the data in a spreadsheet.

• To set up SheetIQ’s automation features, you can use its natural language interface to create commands and queries that automate data entry and analysis. For example, you can use the command “add 10% to sales” to automatically update a sales figure in a spreadsheet.

3. Sheetgo: Sheetgo is a web-based tool that allows you to connect and automate data flows between multiple spreadsheets and cloud applications. Some of its key features include:

– Automated data transfer and consolidation

– Data filtering and transformation

– Collaboration and commenting

– Integration with other cloud applications such as Google Drive, Microsoft Office, and Dropbox

• Sheetgo can generate automated notifications for redundant workflows using its data filtering and automation features. For example, you can set up a notification to be sent to a team member when a certain condition is met, such as a new row being added to a spreadsheet or a cell value changing.

• Sheetgo uses machine learning algorithms to automate data transfer and consolidation. For example, it can recognize patterns in data and automatically consolidate it from multiple spreadsheets into one. It can also use data filtering and transformation to clean and standardize data.

• To set up Sheetgo’s automation features, you can use its drag-and-drop interface to create connections between multiple spreadsheets and cloud applications. For example, you can set up a connection that automatically transfers data from a Google Sheet to a Microsoft Excel spreadsheet whenever a new row is added.

These platforms use AI and machine learning algorithms to automate data entry, analysis, and reporting by recognizing patterns in data, understanding natural language commands, and automatically transferring and consolidating data. They are setup and programmed using a combination of drag-and-drop interfaces, natural language processing, and machine learning algorithms.