China’s Ministry of Science and Technology is set to launch its national blockchain technology research hub in Beijing.
The new research hub will focus on blockchain, regarding fundamental theory, hardware, and software, to develop related vital technologies and industrial applications. It will also focus on the issues related to the national economy and personal livelihood and making blockchain an essential foundation for China’s new digital infrastructure.
The new center will collaborate with domestic universities in China, research institutes, and businesses. The research hub will be led by the Microchip Research Institute, which is an edge computing research institute in Beijing.
Two years ago, Chinese President Xi Jinping mentioned that blockchain would play an essential role in the next technological innovation and industrial transformation round. The Cyberspace Administration of China (CAC) and the Ministry of Industry and Information Technology (MIIT) stated that China will explore using blockchain broadly across various technologies by 2030.
The MIIT official also declared last year that China has the most blockchain patent applications in the world.
Today, Tableau is one of the easiest business intelligence (BI) tools among the list of various BI tools, as it does not require any coding knowledge. Organizations use Tableau to analyze their data and generate actionable insights to make effective decisions. Tableau is a powerful tool that simplifies raw data into an understandable format. Even non-technical users can use Tableau due to its simplicity.
This article provides an overview of Tableau dashboards, features, and uses. It also explains the steps to create a dashboard in Tableau.
What is Tableau
Developed in 2003, Tableau is the world’s leading data analytics platform. Tableau is a top-rated business intelligence tool businesses use to analyze data and make effective decisions. It is popularly known for taking data from almost any source and turning it into actionable insights quickly and accurately. Working with Tableau is simple, through the dragging and dropping functionality. Tableau’s industry-leading enablement resources training and global data community provide unparalleled support for customers and their analytics investment.
Features of Tableau
a. Intuitive user experience
Tableau believes that data analytics should be asking questions, not learning about the software. With its built-in visual practices, Tableau allows limitless data exploration without interrupting the analysis flow.
b. Tableau dashboards
Tableau provides an intuitive dashboard with self-explaining wizards that allow non-technical users to create data visualizations easily. Dimensions and charts are simple drag-and-drop functions for data analysis in Tableau dashboards.
c. Data sources
The tableau consists of more than 200 connectors, which help users to connect with external data sources such as the cloud, spreadsheets, RDBMS, and more.
d. Collaborative sharing
Tableau enables users to collaborate with their teams to understand and share the analysis of data efficiently. Users can also share their data analytics reports to the cloud, which is accessible to everyone.
e. Advanced visualizations
Tableau has a wide range of visualizations using charts, tables, maps, graphs, and more. With Tableau, users can also learn and analyze data using area charts, bar charts, Bubble Cloud, heat maps, dot distribution maps, cartograms, and bullet graphs.
What is a dashboard in Tableau
Dashboards in Tableau collect different views or visualizations where each view simultaneously indicates different kinds of data. In other words, a tableau dashboard gives you a summary of various workbooks it contains that are consolidated in one place. Like excel worksheets, you can access Tableau dashboards from the tabs at the bottom of the workbooks. Data in sheets and dashboards are connected, so when you modify a sheet, any dashboards containing that sheet will change and vice versa. As a result, both sheets and dashboards will be updated with the latest available data from the source.
Most organizations use dashboards because they are highly customizable. IT can have data of all forms with different date ranges that help you to understand: what happened to your data, why it happened, and what action you can take.
Dashboards versus reports
Most businesses use dashboards and reports to understand and analyze data and make effective decisions. Reports usually provide a narrow focus, like a deep dive view into a dataset, and concrete more on a single item or event. In contrast, dashboards tend to have a high-level view of data and usually answer a single question of data. The questions can be like how was your site performing last month? Questions can be specific such as how many units did our business sell? Dashboards can also answer complex questions like is our overall efficiency improving?
What is Tableau dashboard used for
Tableau dashboards aggregate data from different sources so non-technical people can easily read and interpret them. The primary use of dashboards is to provide a comprehensive view of data from various sources. Dashboards in Tableau measure customer metrics, sales information, finance information, web analytics, manufacturing information, human resources data, marketing performance, and logistics information.
Since dashboards are highly versatile, they are used mainly by professionals or data scientists to analyze and study complex data. Stakeholders use dashboards in presentations to understand challenges, opportunities, and organizational changes.
There are some important steps that you should follow while building a dashboard.
a. Define your audience and goals
Ask yourself who you are building this dashboard for and what you need to understand from it. Once you get that, you can answer the questions quickly with selected visualizations and data.
b. Choose your data
Many businesses have large amounts of data from different sources. So in such cases, you need to choose only what is relevant to your audience and avoid confusing your audience with too much information.
c. Double-check your data
Always ensure that your data is cleaned and correct before building the dashboard. If your information is correct and you create a dashboard, you will make proper decisions for your organization.
d. Select the correct visualizations
There are many visualizations like graphs, maps, charts, and more. You can always select the one that is simple to understand but include the information your audience will understand. For example, pie charts and bar charts are simple to understand but adding too much information will make them complex.
e. Use of a template
When building the dashboard for the first time, you can use templates to save time. Select the best template for your project, and do not go for a complex template where loading and analyzing data becomes difficult.
f. Keep it simple
Refrain from adding excessive information in your dashboard, so your audience understands it. Keep it simple and easy to understand by using similar colors and fonts.
g. Iterate and improve
Once you have created your dashboard, ask for feedback from a specific person in your team or audience. Find out if it is making sense to them and answer their questions. After receiving feedback, you can analyze what went wrong in the dashboard and work on it again.
How to Create a dashboard in Tableau
Follow the below steps to create a dashboard in Tableau.
Note: The below steps are supported in Tableau Cloud, Tableau Desktop, and Tableau Server.
It is assumed that you have registered your organization on Tableau Server. After logging in to Tableau Server, follow the below steps for creating a new dashboard.
1.To create a new dashboard, you have to click on new->Workbook.
2. At the bottom of the workbook, click on the New Dashboard icon.
4. To replace the sheet, select it in the dashboard at the right. In the Sheets list at left, hover over the sheet that is to be replaced and then click on the Swap Sheets button.
5.You can add interactivity to dashboards to improve the data insights by using the steps below.
In the upper right corner of the sheet, enable the Use as Filter option to use selected marks in the sheet as filters for the other sheets in the dashboard.
You can add actions for using multiple sheets as filters, navigating from one sheet to another, displaying web pages, and more in Tableau. For more information, you can check the actions and dashboards.
6.Adding dashboard objects and setting their options.
Along with sheets, you can add dashboard objects to add visual appeal and interactivity. You can read about the different object types.
Follow the below steps to add objects to dashboards.
a. From the Objects section on the left, you will drag an item to the dashboard on the right.
You can copy and paste objects within the current dashboard or from other dashboards in other sheets. Objects between Tableau Desktop and Online Tableau can also be copied and pasted.
Follow the below steps to copy dashboard objects.
a. Select the dashboard object and select the Copy Dashboard Item from the object menu. Or you can also select from the main menu, select Dashboard->Copy Selected Dashboard Item.
b. Go to the dashboard where you want to paste the object. Either select nothing to paste n the upper left corner of the dashboard or select an existing item to paste next to it.
c. In Tableau Desktop, click on File->Paste. In Tableau Online, click on Edit->Paste or use the keyboard shortcut to paste.
d. The object is pasted 10 pixels below and is to the right of the upper left corner of the dashboard or the selected object. To move the pasted object, drag the handle at the top.
You can also explore other important tasks in Tableau dashboards, such as setting options for objects, setting detailed options for navigation and download objects, showing and hiding objects in dashboards, and applying security options for web page objects.
Conclusion
This article discussed the Tableau dashboards along with their features and uses. You do not need any coding language to use Tableau; it is very simple, as it has drag-and-drop functionalities. Many leading organizations, such as Linkedin, Amazon, Ferrari, Cisco, Adobe, and more, have used Tableau for data reporting and visualization.
The San Francisco-based company Chatbase allows you to build an AI chatbot that can be trained on your own data. Just upload a pdf and get a GPT-based chatbot that can answer any question on it.
On the website, users need to upload a document that contains the information that you want your chatbot to train on. A chatbot will then be created for you and will be accessible through a unique link.
Currently, you can upload any PDF as the data source. If you want to integrate Notion, Slack, Substack, and any text/documentation, contact the company. These integrations will be available to do on the website soon. The current limit for data is 1.2M characters. That is about a 600-700 page book.
Although based on GPT, the chatbots are not GPT itself. Chatbase lets you build a GPT-based chatbot that understands any data you give it and can answer questions on it.
Currently, Chatbase only works with PDF documents. However, users will soon be able to submit a link to their website, and the chatbot will scrape the text on it.
Bret Taylor, the former co-CEO of Salesforce, and Clay Bavor, vice president of labs at Google, have announced that they will co-found a new artificial intelligence (AI) company. Bavor announced this in a post on his LinkedIn profile.
“Bret and I have known each other since our early days at Google, and I have always admired his keen product sense and entrepreneurial spirit, his technical chops, and, above all, his character and integrity,” he said.
“We share an obsession with recent advances in AI, and we’re excited to build a new company to apply AI to solve some of the most important problems in business.”
He said that up till his departure the following month, he will concentrate on transferring his teams and projects and properly addressing matters at Google.
“I learned how to work at Google, and I saw up close what excellence looks like. I had the opportunity to work on a myriad of important products and technologies. And I learned so much along the way, from my successes and failures alike,” he added.
AI enthusiasts Arnaud Bernard and Helen Zhou have announced the launch of Galileo AI, the first AI product that uses natural language to generate UI designs. Bernard posted the announcement on Twitter.
Today, Generative AI takes a big step and comes to user interface design!@helnzhou and I are excited to announce @Galileo_AI : the first AI product that uses natural language to generate UI designs. It lets you design beyond imagination.
Galileo AI creates delightful, editable UI designs from a simple text description. It empowers users to design faster than ever, according to Bernard. It is a generative AI for user interface design, empowering users to design beyond imagination with speed.
The AI technology learns from thousands of top user experience designs and builds the UI that meets your needs. Users can populate their designs with Galileo’s carefully curated AI-generated illustrations and images to match their vision and style.
In his twitter post, Bernard said, “We had conversations with many designers, while they enjoy the challenge of problem-solving and storytelling, it comes with the tedious hours spent on repetitive UI patterns and mundane pixel-pushing.”
“With Galileo AI, we make that wish come true. No more pixel-pushing and endless searches for UI templates, and focus on what truly matters: solving users’ problems,” they added.
Galileo AI is live on its website now. Users can get early access by registering on a link provided in the post or on the official website.
The socialite and reality show star Paris Hilton has collaborated with the virtual gaming platform The Sandbox to develop “Parisland,” a hybrid of an interactive TV show and a game.
Starting on February 13, gamers will be able to virtually meet other players, accomplish tasks, and eventually choose a partner. This will be just in time for Valentine’s Day.
According to a statement from Sandbox, Paris Hilton serves as their host in “Parisland,” a romantic metaverse journey that takes place on a tropical island. The hybrid reality TV game show will run from February 13 to March 13 and span exactly one month.
Players can receive special gifts as they participate in Paris’ reality program, which has unique challenges like saving a castaway or discovering the secret recipe for the chef’s renowned Love Burger.
After finishing all tasks and deciding on a partner, players will virtually attend their wedding, with Paris Hilton herself as the DJ for their special night. Hilton also shared the announcement on her Twitter account along with a little video teaser and the registration link.
Get ready to party on the beach, pick up cute collectibles and explore my newest tropical Parisland metaverse! 💖
The post said, “Get ready to party on the beach, pick up cute collectibles and explore my newest tropical Parisland metaverse! I’m launching a new experience in @TheSandboxGame on February 13.”
The ministry of consumer affairs is drafting the first set of machine learning and artificial intelligence (AI) standards.
According to a senior official, businesses that call their goods “AI-powered” would need to adhere to specific standards and regulations. The purpose of defining AI and machine learning is to prevent these phrases from being used to describe every other product. Businesses occasionally use built-in AI technologies to compel customers to make certain decisions. These initiatives will be discouraged.
According to the official, the rules might also include instructions for the handling and security of consumer data. The Bureau of Indian Standards (BIS) is developing the standards, which should be completed soon and made available to the general public.
The official added, “India must align itself with the standards of world-class quality adopted by the developed world if it wants to become a world power in this decade. According to the source, the BIS is now assessing Indian standards, harmonizing them with foreign norms, and developing new standards where necessary.
The government has taken certain unique steps to foster the development of AI and ML in order to showcase India as both a talent hub and a hub for global innovation. For instance, to help businesses working on cutting-edge technology like AI, the ministry of electronics and information technology is running a program called Startup Hub.
Artificial intelligence will soon assist the Indian Army in analyzing threats during operations, particularly in sensitive regions like Jammu and Kashmir. The army will be provided with AI-based threat assessment software by the ministry of defense, which will be able to connect to national databases like MoRTH and UIDAI.
This software will be used to follow vehicular travel, monitor the individual online presence, including on social media platforms, and derive links and patterns, according to an official. The army will be able to track and predict occurrences with the help of the software, which was purchased since operations demand a thorough threat assessment.
Only restricted information is now available in the form of registers, both at the company operating base (COB) level and with other headquarters; details of threat assessments are not yet available to security forces or law enforcement authorities.
According to official correspondence, incidents cannot be tracked or anticipated because no methodologies are available with SF for past correlation of incidents, and the data is either non-existent or is maintained in legacy formats (papers and registers).
The answer to all this is a networked AI-based technology that enables data storage and analysis to track and forecast occurrences. In order to track the movement of vehicles and monitor people’s online activity, including on social media platforms, details can be linked to national databases like UIDAI and MoRTH.
Data from other agencies can be imported into the software. With real-time data visibility at all outstations, the central compilation of information from multiple patrols will be possible.
Andrej Karpathy, former Tesla AI Director, has declared his return to OpenAI, an AI company that Elon Musk co-founded in 2015. Karpathy posted on his own Twitter account about his decision to rejoin OpenAI.
“Some personal news: I am joining OpenAI (again :)). Like many others both in/out of AI, I am very inspired by the impact of their work and I have personally benefited greatly from it. The future potential is especially exciting; it is a great pleasure to jump back in and build!” Karpathy wrote.
Some personal news: I am joining OpenAI (again :)). Like many others both in/out of AI, I am very inspired by the impact of their work and I have personally benefited greatly from it. The future potential is especially exciting; it is a great pleasure to jump back in and build!🪄
Prior to joining Tesla, Karpathy was already well-known as a deep learning expert who collaborated on multiple papers with prominent AI researchers including Andrew Ng, the former head of Google’s AI division, and Fei-Fei Li, the director of Stanford’s computer vision lab.
The majority of Karpathy’s work was focused on image perception and identification, which were essential for Tesla’s self-driving initiatives.
Despite having already left Tesla, Karpathy still seems to have a good relationship with the company’s leadership and electric vehicle manufacturer. Karpathy expressed his admiration for the EV manufacturer during a guest appearance on Lex Fridman’s programme. He also hinted at his future comeback to Tesla.
The former CEO of the Asian animation studio Cosmos-Maya, Anish Mehta, today announced his new company, Animeta, an AI-based self-service creator tech platform designed to develop and nurture the unrealized potential of the Asian digital-creator economy through monetary and analytical support.
The mission of Singapore-based Animeta Creator Tech is to develop and support digital creators by assisting them in building their communities, maximizing their earnings across various social media platforms, and developing unique brand solutions.
The company provides content producers with financial investment, data analytics and business intelligence, content strategy and creative oversight, public relations, and social media expertise, as well as data-driven, goal-oriented, and authentic brand campaigns.
Anish Mehta, the founder of Animeta, stated that the company wants to bridge the gap through its creator technology platform and be the catalyst that empowers the vast majority of creators by improving their revenue potential in order to significantly improve their quality of life.
Rajesh Kamat, the Managing Director of KKR’s Asian Media & Entertainment Platform, Emerald Media, and Sameer Manchanda, a veteran media entrepreneur, are among the company’s founding investors.
