Here are the most important steps that will help you become a good leader, according to Indeed.

Communication and liaison with other technology leaders
Communicating with other tech leaders can help you understand what it’s like to be a leader in the tech industry. You can interact with these professionals through social media, conferences, or professional learning opportunities. If you have a chance to talk with them, you can ask questions such as:

-What did you do when you first tried to make a name for yourself as a leader in the tech industry?
-What could you change about your earlier initiatives to become a leader?
-Do you have any advice for professionals who are interested in becoming leaders in technology?

Exploring what current tech leaders are doing can also help you strategize your own path to tech leadership. A good example is never superfluous.

Advocacy for technological excellence
You can also advocate for technological advances in the specific industries where you want to create solutions to solve problems. For example, if you want to work in healthcare, you can advocate for advanced technologies to treat specific health challenges, such as cancer. Advocating for specific technological advances can also help you connect with other technology leaders who are interested in finding solutions to similar problems.

Setting up an organization
Once you have identified the technological advances you want to implement, you can create an organization to develop them. Having your own technology organization is beneficial as it provides you with a platform to share your ideas.

Promoting your organization
Part of leadership in the tech industry is getting the attention of other tech leaders, which you can do by promoting your organization. Specifically, promoting your purpose and values can help encourage conversations about what you do in the tech industry.

Understand your long-term goals
Understanding your organization’s long-term goals and the technological advancements you want to create is helpful for prioritizing your current tasks. Recognizing these important areas early can help you prioritize your technology operations to achieve your long-term goals.

Work with your community
Working with your community is another way you can increase support for your organization and technology advancements. The specific community members you work with may vary depending on the technology advancements you are trying to develop. Getting support within your community is also useful for helping you promote yourself and your organization more widely.

Mentor your employees
Taking the time to mentor your employees can also help you become a technology leader because it’s a learning process for both you and them. Providing advice and additional training can also show them that you’re invested in their professional journeys and goals.

Encourage innovation and experimental thinking
Encouraging innovation and experimental thinking is an important step toward becoming a tech leader because effective leaders can inspire others to reach their own goals. You might provide this encouragement with training programs, speaking at professional events or starting your own technology podcast. This might help others find the confidence they need to make their technological ideas a reality.

Toru Katsumoto, Sony Group Corporation Executive Deputy President and CTO, said:

“I hope to take the lead in uniting the Sony Group’s diverse businesses through talent and technology, which will leverage to evolve our products, content, and services in ways that fill the world with emotion.”

Fusion of the Physical and Virtual Worlds

Virtual Production is a term for new video production technology. It synthesizes live-action video and computer graphics (CG) in real-time. This discharges all creators from the nuisance of CG composition which is required for conventional green background shooting. The digital cinema camera “VENICE 2,” equipped with the newly developed 8.6K image sensor, offers high-resolution and a wide colour gamut for rich expression. Sony Group will strengthen collaboration with creators inside and outside the Sony Group, as well as with engineers involved in actual filming in order to promote the development of Virtual Production solutions.

“EPTS and Data Visualization Technology” – Visualizing all performances

SkeleTRACK, are the Sony Group company’s Hawk-Eye Innovations Ltd’s Electronic Performance Tracking Systems (EPTS) in football, which captures the movements of players and the match ball from live video feeds. The advanced image processing, AI recognition technologies perfected by Hawk-Eye, fused with Sony’s speciality broadcast output capabilities and image sensor technology, entire games, including details down to the posture of the players, are converted into data, making it possible to visualize performances that were previously impossible to capture.

Pursuit of Reality

This is a virtual reality (VR) head-mounted display (HMD) that projects a high-definition 3D space and achieves a high-resolution of 4K with one eye and 8K with both eyes. High image quality is achieved through multi-pixel and miniaturization using fine processing and advanced packaging technology. The processing time is reduced by decreasing the amount of latency throughout the entire system thanks to the integration of data from multiple sensors. The person watching in VR can experience high-definition images in real-time according to the movement of his/her head.

“Using super-resolution technology in ray tracing” – Balancing high-resolution and production efficiency

The know-how technology maximizes performance with limited computing resources. It also achieves high resolution with high precision from various perspectives for images of a variety of scenes and quality. The development is being carried out in cooperation with Sony Pictures Entertainment, reflecting the voices of creators, with the aim of expanding the range of applications from 2D to 3D and developing a wide range of applications in the entertainment field.

“Three technologies used in the PlayStation®5” – Realizing breathtaking immersiveness

Tempest 3D audio, haptic feedback and adaptive triggers. Tempest 3D audio is designed with DSP (Digital Single Processor) to achieve extremely accurate audio positioning so that the sound can be heard from anywhere 360 degrees around the listener. The adaptive triggers adopted to the L2/R2 buttons of the DualSense™ wireless controller enable powerful real-time tactile sensation in response to in-game actions with a small precision gear and built-in high-torque motor.

Contribution to People, Society and the Earth

Also introduced were sensors that detect the distance to surrounding objects with high accuracy by capturing low levels of light energy. The sensors consist mainly of three elements: SPAD pixels, that capture light and convert it into electrical signals, Cu-Cu connections, and logic chips. By utilizing strengths cultivated in the development of Sony’s CMOS image sensors, they realize high-speed and high-precision distance measurement from short to long distances with a single, compact chip.

“Manipulator” – Reproducing the delicacy of the human hand

With this technology, robotic hands can grasp an object without dropping it by adjusting the force appropriately. The robot can grasp the object in the appropriate position and posture since the distance sensor detects the distance from the fingers to the object. As the manipulator can grasp objects as delicately as human hands, it can be expected to help human beings in new areas where it was difficult to introduce conventional industrial robots.

“Earth ‘MIMAMORI’ platform” – Watching over the Planet Earth

The system would urge humanity to act with sustainability in mind by alerting them of potential abnormalities in advance. The system would consist of the Sony Group technologies such as soil moisture sensors capable of measuring moisture content; ELTRES™, a satellite communication system using LPWA (Low Power Wide Area) wireless communication technology; and sophisticated predictive data analytics technology utilizing AI.

A solar telescope has a tough job. Staring at the Sun takes a harsh toll, with a constant bombardment by a never-ending stream of solar particles and intense sunlight. Over time, the sensitive lenses and sensors of solar telescopes begin to degrade. To ensure the data such instruments send back is still accurate, scientists recalibrate periodically to make sure they understand just how the instrument is changing.

Launched in 2010, NASA’s Solar Dynamics Observatory, or SDO, has provided high-definition images of the Sun for over a decade. Its images have given scientists a detailed look at various solar phenomena that can spark space weather and affect our astronauts and technology on Earth and in space. The Atmospheric Imagery Assembly, or AIA, is one of two imaging instruments on SDO and looks constantly at the Sun, taking images across 10 wavelengths of ultraviolet light every 12 seconds. This creates a wealth of information of the Sun like no other, but—like all Sun-staring instruments—AIA degrades over time, and the data needs to be frequently calibrated.

Since SDO’s launch, scientists have used sounding rockets to calibrate AIA. Sounding rockets are smaller rockets that typically only carry a few instruments and take short flights into space—usually only 15 minutes. Crucially, sounding rockets fly above most of Earth’s atmosphere, allowing instruments on board to to see the ultraviolet wavelengths measured by AIA. These wavelengths of light are absorbed by Earth’s atmosphere and can’t be measured from the ground. To calibrate AIA, they would attach an ultraviolet telescope to a sounding rocket and compare that data to the measurements from AIA. Scientists can then make adjustments to account for any changes in AIA’s data.

There are some drawbacks to the sounding rocket method of calibration. Sounding rockets can only launch so often, but AIA is constantly looking at the Sun. That means there’s downtime where the calibration is slightly off in between each sounding rocket calibration. Dr. Luiz Dos Santos, a solar physicist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland said:

“It’s also important for deep space missions, which won’t have the option of sounding rocket calibration. We’re tackling two problems at once.”

Researchers needed to train a machine learning algorithm to recognize solar structures and how to compare them using AIA data. To do this, they give the algorithm images from sounding rocket calibration flights and tell it the correct amount of calibration they need. After enough of these examples, they give the algorithm similar images and see if it would identify the correct calibration needed. With enough data, the algorithm learns to identify how much calibration is needed for each image.

Because AIA looks at the Sun in multiple wavelengths of light, researchers can also use the algorithm to compare specific structures across the wavelengths and strengthen its assessments.

Machine learning beyond the Sun

Researchers have also been using machine learning to better understand conditions closer to home.

As machine learning advances, its scientific applications will expand to more and more missions. For the future, this may mean that deep space missions—which travel to places where calibration rocket flights aren’t possible—can still be calibrated and continue giving accurate data, even when getting out to greater and greater distances from Earth or any stars.