As large amounts of data, from both external and internal data sources, have become central to running an organization, a pipeline of technical staffing roles has been developed to manage the collection and processing of that data.

Down in the engine room, if you will, is a data engineer who integrates multiple sources of data and manages the operations that make and keep the data available for business analysis. 

On the top deck is the data analyst, who serves the data from largely pre-formed models to nontechnical business users so they can perform their work.

Mid-deck, between these two, is the data analytics engineer. This is a specialist who understands both data engineering technology and the data analysis needs of a business, and thus can build the analytical models that the upper-deck data analysts and business end users need to fulfill their roles. 

Therefore, a data analytics engineer is a person who combines the skills of the data analyst and software engineer to source and transform data for easy analysis. Because of their technical dexterity and business acumen, they have become quite valuable as members of the data team. This article details the duties and requisite skills of the analytics engineer, as well as the remuneration prospects of the role.

Who is a data analytics engineer?

The analytics engineer is a member of a data team who is responsible for efficient, integrated data models and products. They build useful, well-tested and documented dataset representations and tools that the rest of the company can use to answer their questions. 

They move and transform data from the source so that it can be easily analyzed, visualized and worked upon by the data analyst or business user. Not only that, but they have the technical skills to apply software engineering best practices such as Version Control and CI/CD, but also need to communicate effectively with stakeholders about the use of these tools.

The datasets created by a data analytics engineer allow end-users to comprehend and examine the information within the data. An analytics engineer combines business strategy and technical data knowledge to translate complex information and illustrate them clearly as visual representations known as data models. They collaborate with data analysts and data engineers to provide simple visual representations of data patterns and communicate their meaning to coworkers, stakeholders and end-users.

The transition to cloud data warehouses, evolution of self-service business intelligence (BI) tools and introduction of data ingestion tools have contributed to significant shifts in data tooling. Roles and responsibilities within traditional data teams are changing.

With the shift to an extract, load, transform (ELT) procedure, data now drops in the warehouse before it has been transformed. This creates an opportunity for skilled technical analysts who are both  well-versed with the business and the technical skills required to model the raw data into neat, well-defined datasets. This requires the skills of both a software engineer and a data analyst, which the analytics engineer possesses.

Analytics engineers handle the data itself, as well as managing and sorting data. It is their job to make sure data is ingested, transformed, scheduled and ready to be used for analytics by all who may require it. Many analytics engineers are the orchestrators of the modern data stack, and they decide on and apply tools for ETL/ELT.

Role of a data analytics engineer

The analytics engineer is responsible for implementing and managing a data warehouse to ingest data. They also decide on the best tools to ingest data from different sources into this warehouse. Then they model the data to be used by analysts and schedule tests to simplify these models. The basic duties of the analytics engineer include:

1. Data warehouse management

Engineers are responsible for ingesting data into the warehouse and making sure that datasets are maintained. They are the first to be notified of any issue in the pipeline, so they can fix it.

2. Data modeling

This is the process of building visual representations of data and relating connections between different information locations and systems. Analytics engineers are charged with modeling raw data into datasets that enable analytics across the company. These datasets act as a central source of truth, making it easier for business analysts and other stakeholders to view and understand data in a database.

3. Data orchestration

The engineer creates data pipelines and workflows to move data from one point to another, and coordinates the combining, verifying and storing of that data for analysis. The engineer understands everything about data orchestration and automation.

4. Setting best practices

They enable other team members like data analysts and data scientists to be more effective. Whether by sharing tips for writing better SQL, reworking a dataset to contain a new metric or dimension, or training them on how to apply best practices for software engineering. This approach is called dataops (a methodology that integrates data engineering, data analytics and devops). A few best practices that can be optimized include version control, data unit testing as well as continuous integration and continuous delivery (CI/CD).

5. Inter-collaboration

As a member of a team, they collaborate with team members to collect business requirements, define successful analytics outcomes and design data models.

Depending on the company and role specifications, a data analytic engineer may be required to perform some or all of the following:

• Collaborate with product, engineering, data science, strategy and client teams to understand client needs and deliver actionable solutions.
• Transform raw data into actionable analytical information and business logic.
• Interface directly with other engagement teams to present analyses to answer their key business questions.
• Combine data mastery with industry expertise to scope and implement projects using relevant datasets.
• Seek areas for functional improvement and take initiative to appropriate them.
• Provide advanced analysis, insights and data-driven recommendations to internal teams and other concerned stakeholders.

The analytics engineer collects information, designs data models, writes code, maintains data documentation, collaborates with data team members and communicates results to concerned stakeholders. Therefore, the Analytics Engineer blends business acumen with technical expertise and alternates between business strategy and data development.

Key skill requirements to succeed in 2022

Every company or employer looks out for a specific set of skills that they require in an analytics engineer, but some general skills and competencies are vital for every analytics engineer. These skills are discussed subsequently.

SQL and DBT Prowess

Analytic engineers typically use SQL to write transformations within data models. SQL is one of the most important skills that you need to master to become an analytics engineer, since the major portion of the analytics engineer’s duties is creating logic for data transformations, writing queries and building data models. 

SQL is closely related to Dbt in the language it utilizes, so knowledge of the former is required for the latter. Dbt is the leading data transformation tool in the industry, which is why it is most likely that the majority of analytics engineers use this to write their data models.

Programming languages

Knowledge of advanced languages like R and Python is crucial for analytics engineers to handle various data orchestration tasks. Many data pipeline tools utilize Python, and knowing how to code in it is extremely useful for writing your own pipeline as an engineer.

Modern data stack tools

An analytics engineer needs to be conversant with the most popular tools in a modern data stack. This means possessing experience with ingestion, transformation, warehousing and deployment tools: if not comprehensive knowledge of them, then at least the basic concepts behind each of them. Learning one tool in each part of the stack may facilitate inferential understanding of the others.

Data engineering and BI tools knowledge

An engineer needs to have experience with tools for building data pipelines. Some of these tools include data warehouses like Snowflake, Amazon Redshift and Google BigQuery; ETL tools like AWS Glue, Talend, or others — as well as business intelligence tools like Tableau, Looker, etc.

Communication and interpersonal skills

Communication is key for analytics engineers because it is their responsibility to ensure that everyone is updated on the status of data. They need to communicate with relevant individuals when data quality is compromised or when a pipeline is damaged, to understand what the business needs. They also need to collaborate with business teams and data analysts to understand what the business needs. If this isn’t done, erroneous assumptions can be made on defective data, and valuable ideas and opportunities will go unnoticed. It is imperative for an analytics engineer to develop and sustain multi-functional interactions with various teams across the business.

In sum, an analytics engineer must have a robust combination of technical dexterity and stakeholder management skills to succeed.

Salary range

Analytics engineers in all industries and environments now have great prospects with good remuneration scales. According to Glassdoor, the average base salary is $91,188 and $111,038 in total annually in the U.S.

Conclusion/Key takeaways

The analytics engineer is tasked with modeling data to provide neat and accurate datasets so that different users within and outside the company can understand and utilize them. The role involves gathering, transforming, testing and documenting data. It requires key skills in terms of communication, software engineering and programming.

The role of the analytics engineer is fairly new to the data analytics niche, but it is fast gaining traction and recognition as more and more people realize its worth.

Cartoonists have an excellent understanding of how stories are shaped in a concise way with an eye for design. Recently, cartoonist extraordinaire Roz Chast appeared in the New Yorker prompting DALL-E images and I was immediately drawn to her prompts above and beyond the real output of the machine.

The article’s title, “DALL-E, Make Me Another Picasso, Please” is a play on words like the old Lenny Bruce joke about a genie in a bottle giving an old man anything he wants. The old man asks the genie to “make me a malted” and poof! the genie turns him into a milkshake.

Like the genie’s gift, AIs are powerful but unruly and open to abuse, making the intercession of a prompt engineer a new and important job in the field of data science. These are people who understand that in constructing a request they will rely on artful skill and persistence to pull a good (and non-harmful) result from the mysterious soul of a machine. The best AI prompt engineers would be those who would actually consider whether there is a need for more derivative Picasso art, or what obligations should be considered before asking a machine to plagiarize the work of a famous painter.

Lately, concerns have centered around whether DALL-E will change the already eternally muddy definition of artistic genius. But asking who gets to be called a creative misses the point. What is art, and who gets to claim the title of artist are philosophical (and infrequently ethical) questions that have been argued for millennia. They don’t address the fundamental fusion happening between data science and the humanities. Successful prompt craft, whether for DALL-E or GPT-3 or any future algorithm-driven image and language model, will come to require not only an engineer’s understanding of how machines learn, but an arcane knowledge of art history, literature and library science as well. 

Artists and designers who claim that this kind of AI will end their careers are certainly invested in how this integration will progress. Vox recently published a video titled “What AI art means for human artists” that explores their anxiety in a way that acknowledges there is a very real evolution at hand despite the current dearth of “prompt craft” and wordsmithing involved. People are just starting to realize that we may reach a point where trademarking a word or phrase would not protect intellectual property in the same way that it does currently. What aspect of a prompt could we even copyright? How would derivative works be acknowledged? Could there be a metadata tag on every image stating whether it is “appropriate or permitted for AI consumption?” No one seems to be mentioning these speed bumps in the rush to get a personal MidJourney account. 

Alex Shoop, an engineer at DataRobot and an expert in AI systems design, shared a few thoughts on this. “I think an important aspect of the ‘engineer’ part of ‘prompt engineer’ will include following best practices like robust testing, reproducible results and using technologies that are safe and secure,” he said. “For example, I can imagine a prompt engineer would set up many different prompt texts that are slightly varied, such as ‘cat holding red balloon in a backyard’ vs. ‘cat holding blue balloon in backyard’ in order to see how small changes would lead to different results even though DALL-E and generative AI models are unable to create deterministic or even reproducible results.” Despite this inability to create predictable artistic outcomes, Shoop says he feels that at least testing and tracking the experimentation setups should be one skill he would expect to see in a true “prompt engineer” job description. 

Before the rise of high-end graphics and user interfaces, most science and engineering students saw little need to study visual art and product design. They weren’t as utilitarian as code. Now technology has created a symbiosis between these disciplines. The writer who contributed the original reference text descriptions, the cataloguer who constructed the metadata for the images as they were scraped and then dumped into a repository, the philosopher who evaluated the bias implicit in the dataset all provide necessary perspectives in this brave new world of image generation. 

What results is a prompt engineer with a combination of similar skill sets who understands the repercussions if OpenAI uses more male artists than female. Or if one country’s art is represented more than another’s. Ask a librarian about the complexities of cataloging and categorization as it has been done for centuries and they will tell you: it’s painstaking. Prompt engineering will require attention to relationships, subgroups and location, along with an ability to examine censorship and respect copyright laws. While DALL-E was being trained on representative images of the Mona Lisa, the humans in the loop with an awareness of these minutiae were critical to reducing bias and encouraging fairness in all outcomes.

It’s not just offensive abuses that can be easily imagined. In a fascinating turn of events, there are even multi-million-dollar art forgeries being reported by artists who use AI as their medium of choice. All enormous datasets or large networks of models contain, buried deep within the data, intrinsic biases, labeling gaps and outright fraud that challenge quick ethical solutions. OpenAI’s Natalie Summers, who runs OpenAI’s Instagram account and is the “human in the loop” responsible for enforcing the rules that are supposed to guard against output that could damage reputations or incite outrage, expresses similar concerns. 

This leads me to conclude that to be a prompt engineer is to be someone not only responsible for creating art, but willing to serve as a gatekeeper to prevent misuse like forgeries, hate speech, copyright violations, pornography, deepfakes and the like. Sure it’s nice to churn out dozens of odd, slightly disturbing surreal Dada art ‘products,’ but there should be something more compelling buried under the mound of dross that results from a toss-away visual experiment. 

I believe DALL-E has brought us to an inflection point in AI art, where both artists and engineers will need to comprehend how data science manipulates and enables behavior while also being able to understand how machine learning models work. In order to design the output of these machine learning tools, we will need experience beyond engineering and design, in the same way that understanding the physics of light and aperture takes photographic art beyond the mundane. 

This diagram is an abbreviation of Professor Neri Oxman’s “Cycle of Creativity.” Her work with the Mediated Matter research group at the MIT Media Lab explored the intersection of design, biology, computing and materials engineering with an eye on how all these fields optimally interact with one another. Likewise, in order to become a “prompt engineer” (an as-yet nonexistent job title that has yet to be formally embraced by any discipline), you will need an awareness of these intersections that are as broad as hers. It’s a serious job with multiple specialties. 

Future DALL-E artists, whether self-taught or schooled, will always need the ability to communicate and design an original point of view. Like any librarian with image metadata and curation skills; like any engineer able to structure and test reproducible results; like historians able to connect Picasso’s influences with what was happening in the world as he was painting about war and beauty, “prompt engineer” will be an artistic career of the future, requiring a blend of scientific and artistic talents that will guide the algorithm. It will continue to be humans who inject their ideas into machines in service of the newer and ever-changing language of creation.

Tori Orr is a member of DataRobot’s AI Ethics Communications team.

Bennett  Oghifo

The Kia K8 combines cutting-edge innovation and dynamic performance to establish new benchmarks for premium quality in the sedan segment.

Further demonstrating the latest rejuvenation of the brand, the K8 offers progressive and refined driving performance, a cutting-edge Advanced Driver Assistance System, and a contemporary and clean interior space that provides the driver and passengers with a first-class lounge experience.

The K8 will be available in Nigeria on request, and advance bookings are currently open both online and across Kia showrooms nationwide. 

Engineering at the core

K8’s sleek style is matched with refined powertrains and driving performance

The K8’s four powertrains have all been developed to offer refined, smooth power delivery while improving fuel economy and reducing emissions (powertrain options may vary by country).

A state-of-the-art 3.5-liter Smartstream powertrain is offered in two power and fuel guises: a GDI (gasoline direct injection) derivative with 300 ps and 36.6 kgf.m (359 Nm) torque, and an LPI (liquid propane injection) stablemate with 240 ps with 32.0 kgf.m (314 Nm) torque.

A 2.5-liter GDI engine is also available, delivering 198 ps and 25.3 kgf.m (248 Nm) torque. Like the Smartstream powertrain, the 2.5 four-cylinder features GDI and MPI dual injection technology to realize optimized fuel injection across all operating conditions. A smooth 8-speed automatic transmission, designed and developed in-house, accompanies the 2.5 GDI engine and the 3.5 GDI and LPI Smartstream derivatives.

Adding to the sense of refinement, the K8 has been developed to offer minimal NVH (noise, vibration, and harshness), employing reinforced sound packaging materials including a triple sealing solution to the doors that dramatically reduces unwanted noises coming from the outside. Vibration levels are kept to a minimum thanks in part to a new vibration damper.

Progressive and modern space

An automotive lounge that fuses nature with technology and luxury with comfort

Every element of the K8 interior has been designed with high-end luxury in mind, serving to elevate the senses of the driver and passengers.

Named the Ergo Motion Seat, the leading-edge driver’s seat has a ‘comfort stretching’ mode that individually controls the air pockets of the hip and backrest areas of the seat, creating the effect of stretching while sitting down. 

There is also a ‘smart support’ function that tenses the seat against the body of the driver, creating a unison and helping to inspire total driving confidence. The ‘smart support’ function of the seat is activated when the K8 engages sports driving mode or when the car exceeds 130 km/h. It lowers the height of the hip area of the seat and strengthens the support to the side bolsters. A third innovative mode – ‘posture assistance’ – adjusts the air pouches located around the hip and back areas of the seat when driving for more than one hour to provide a sumptuous seating position.

Interior tech

Advanced connectivity, infotainment, and sound quality

A contemporary panoramic curved display links a 12-inch digital cluster and a 12-inch infotainment system, bringing together the K8’s advanced connectivity and infotainment technology for all inside the sports sedan. This curved display – a first for Kia – is clean, ultra-modern, and easy to use, giving the K8 an effective minimalist-meets-simplicity tech style.

The K8 is the first-ever Kia vehicle to feature an industry-leading sound system from Meridian Audio. The 14-speaker premium sound system from the world-renowned British audio pioneer makes use of advanced materials and next-generation innovations to enable the very highest levels of sound quality tuned specifically for the interior of the vehicle. The system includes a titanium dome vibration plate tweeter that helps to minimize sound distortion and natural wood fiber dresses the vibration plate that is part of the door speaker, adding to the natural and organic ambience of the K8 cabin.

This next-generation head-up display unit clearly visualizes essential data for the driver in their eyeline, including Advanced Driver Assistance System, navigation information, and the current speed.

Advanced Driver Assistance System

K8 combines leading ADAS technologies

Kia’s renowned Advanced Driver Assistance System (ADAS) reduces hazards, fully protecting occupants and other road users on every journey. As part of its ADAS package, the K8 features Kia’s highly acclaimed Forward Collision-Avoidance Assist (FCA), which helps avoid collisions with objects in front of the vehicle while driving. If the preceding vehicle suddenly slows down, or if a forward collision risk is detected, such as a stopped vehicle, a pedestrian, or a cyclist in front of the K8, FCA provides a warning. After the warning, if the risk of collision increases, FCA automatically assists with the emergency braking of the vehicle.

© 2022 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

Engineering is, to say the least, a demanding profession. To become an Engineer, one must possess strong scientific and technological expertise. However, various engineers operate differently on the job due to their varying personality traits as indicated by their zodiac sign. Some are proactive, some are creative, while others may like to think differently when it comes to solving any problem. There is also a difference in the profile one is most suited to in the field of engineering. Let us explore this further.

Aries: You thrive in authoritative situations. You have a tendency to act on instinct, and if you feel that a project isn't going as per plan, you are not scared to start from the scratch and mend your approach. In the long-term, you shift focus from hands-on engineering to leadership roles. You'd do better as project managers, leading a group of engineers rather than working as an engineer yourself.

Taurus: You have a strong work ethic and can set and achieve goals with ease, qualities that make you a great engineer. You are resistant to change because you take your job very seriously. You are a dedicated worker who will stop at nothing to achieve success because of your moral fibre. You maintain composure and work diligently. You have the combination of brains and muscle that makes you an ideal engineer.

Gemini: Being an engineer requires a lot of curiosity and a need for information, and you have both in spades. You have a tendency to jump into numerous initiatives at once, which can backfire. More than fundamental engineering, you are better off in advisory and consultancy positions. You have remarkable intelligence and are adept at finding and applying solutions to complex problems.

Cancer: Engineering may not appeal to you strongly given your sensitive nature. You are more inclined towards softer profiles which preserves your compassionate and emotional but creative side. You have a remarkable capacity for insight and people-reading. This gives you a leg up in understanding the issues at hand and in generating innovative solutions. People management is also your key skill.

Leo: Your thinking is more suited to technical matters. It's not uncommon for you to take on challenging tasks, and you always seem to complete them successfully. You have an adventurous spirit and are not afraid to attempt something new. You have a lot of drive and enthusiasm. You're an excellent leader. You'd make a great engineer because of how well you can persuade others.

Virgo: You've got all the makings of a brilliant engineer. You're not content to merely consider an idea from a theoretical perspective; you prefer to put it into practise and see if it works. You're meticulous and critical at the same time. You have a strong work ethic and a knack for mechanics. You take things slowly and with great care, and you use tried-and-true methods to solve your issues.

Libra: If you're working on a group project, you'll be able to bring a refined perspective to the table. You'd be happier in a field that combines artistic expression with monetary compensation than one that requires repetitive motion. However, if you decide to pursue a career in engineering, you should know that you will perform quite well at it because you are meticulous and careful with every detail.

Scorpio: You're the kind of person that seeks out excitement and adventure by going in a different direction than the herd. You can become a formidable engineer, capable of devising ingenious approaches to difficult problems. You put in a lot of effort because of your enthusiasm and drive. You are dependable and tenacious, and you have a track record of succeeding at whatever you set your mind to.

Sagittarius: You despise routine and are always looking for new experiences. If your profession requires you to frequently visit different locations or move around, you might make a fantastic engineer. You can't be pigeonholed easily, therefore your finest career options are in the fields of entrepreneurship and research. You're not a planner and tend to act on the spur of the moment.

Capricorn: You are a bright, meticulous, and hard-working person. You have a great deal of patience and won't deliver up until the task at hand is finished. You take the tried-and-true route in leading your team through difficult situations. You've got a lot of dedication to your field and the organisational skills to pull off the tedious details with style which makes you a successful engineer.

Aquarius: When it comes to electronics, you're a genius. You would make an excellent engineer because to your insatiable need for knowledge and your enthusiasm for technical details, tools, and maths. You frequently forego tried-and-true methods in favour of daring experiments when faced with a challenge. You approach life and your work with a progressive outlook with a knack for creative problem solving.

Pisces: You have strong thinking ability, so rather than becoming an engineer, you might consider pursuing a more artistic line of work. You have a fantastic sixth sense and a penchant for acting on impulse and getting wonderful insights. As an engineer, you will be recognised for your compassion and sensitivity. You're a team player who knows how to keep the peace and achieve your goals.

----------------------------

Neeraj Dhankher

(Vedic Astrologer, Founder - Astro Zindagi)

Email: info@astrozindagi.in, neeraj@astrozindagi.in

Url: www.astrozindagi.in

Contact: Noida: +919910094779

VANCOUVER, British Columbia, Sept. 28, 2022 (GLOBE NEWSWIRE) -- (TSXV: BRZ) Bearing Lithium Corp. (the "Corporation" or "Bearing") announced today that an information circular (the "Information Circular") and other materials (the "Securityholder Materials") will be mailed to the holders of the Corporation's common shares ("Bearing Shares"), stock options and warrants (collectively, the "Securityholders"), in connection with the previously announced meeting of the securityholders of Bearing scheduled to be held on October 28, 2022 at 10:00 a.m. (Vancouver time) (the "Meeting"), to approve the statutory plan of arrangement (the "Arrangement") as previously announced and agreed to pursuant to the arrangement agreement dated June 22, 2022 (the "Arrangement Agreement") among the Corporation, Lithium Power International Limited ("LPI"), a company listed on the Australian Stock Exchange under the symbol "LPI", and LPI Canada Holdings Ltd. ("LPI Canada").

The Arrangement

As previously announced by the Corporation in its June 22, 2022 news release, if the Arrangement is completed, then under the terms of the Arrangement:

1. LPI will, through LPI Canada, acquire the outstanding common shares of Bearing in exchange for issuing new ordinary shares of LPI ("LPI Shares") to holders of Bearing Shares ("Bearing Shareholders"), on the basis of 0.7 new LPI Shares for each one (1) outstanding Bearing Share;

2. Bearing stock options and warrants will remain outstanding following the Arrangement and will continue to be exercisable into LPI Shares (using the same exchange ratio as the Bearing Shares); and

3. Bearing Shareholders as at the date of the Arrangement are expected to receive a cash distribution from Bearing of approximately C$0.015 per Bearing Share (the payment and amount of which is subject to the risk factors described in the Information Circular).

In addition, Bearing Shareholders who continue to hold LPI Shares at the relevant time will be entitled to participate in a spin-out transaction whereby LPI is planning to spin out its Western Australian lithium exploration assets into a separate growth company ("DemergeCo"), and distribute shares in the DemergeCo to all holders of LPI Shares on a pro rata basis at the time of the spin-out, which is expected to occur at a later date following completion of the Arrangement.

Story continues

The Arrangement was approved by the board of directors of the Corporation and the Corporation’s board of directors recommends that Securityholders vote in favour of the Arrangement. Sequeira Partners provide the board of directors with a fairness opinion, dated June 19, 2022, to the effect that, at the date of such opinion, the consideration to be received by the Bearing Shareholders pursuant to the Arrangement, is fair from a financial point of view to the Bearing Shareholders.

LPI has also separately entered into an agreement with its other joint venture partner (as described in the Information Circular) in the Maricunga Lithium Brine Project in Chile (the "MSB Project") to acquire the remaining 31.13% interest in the MSB Project not owned by Bearing or LPI (the "Joint Venture Partner Transaction"), which if completed in conjunction with the Arrangement, would consolidate a 100% indirect interest in the MSB Project in LPI. Bearing Shareholders will continue to have an interest in the MSB Project as shareholders of LPI.

The Meeting

The Meeting is scheduled to be held at Suite 810 - 789 West Pender Street, Vancouver, BC, V6C 1H2, with the option to participate virtually via live webcast, at 10:00 a.m. (Vancouver time) on October 28, 2022. Securityholders and registered proxyholders that wish to attend the Meeting online, can attend by going to https://meetnow.global/MATWUV4. In order to participate online, Securityholders must have a valid 15-digit control number and proxyholders must have received an email from Computershare containing an invitation code. The record date (the "Record Date") for voting at the Meeting was established as the close of business on September 9, 2022. Securityholders at the Record Date will be entitled to vote on the Arrangement on the basis of one vote per each Bearing Share, Bearing stock option and Bearing warrant held as of the Record Date. The Information Circular provides important and detailed instructions about how to participate at the Meeting, both physically or virtually.

To be approved at the Meeting, the Arrangement requires the affirmative vote of at least 66 ^2/3% of the votes cast at the Meeting, whether in person or by proxy, by the holders of Bearing Shares, Bearing stock options and Bearing warrants, with all securities voting together as one class.

The deadline for Securityholders (other than Securityholders that participate virtually via webcast) to submit their proxies or voting instructions in order to vote on the Arrangement is 10:00 a.m. (Vancouver time) on October 26, 2022.

Any questions or requests for further information regarding voting at the Meeting should be directed to the Corporation at info@bearinglithium.com.

LPI has already obtained a waiver from the Australian Stock Exchange such that LPI will not require a shareholder meeting to approve the Arrangement. However, LPI will require LPI shareholder approval for approval of the Joint Venture Partner Transaction and Bearing understands that this meeting of LPI shareholders is also scheduled to be held on or about October 28^th 2022.

Information Circular

The Information Circular contains, among other things, information regarding procedures for voting on the Arrangement, as well as other background and material information regarding the Arrangement and the Arrangement Agreement. In addition to being mailed to Securityholders, the Information Circular and Securityholder Materials will also be available as follows:

        On Bearing's Website at www.bearinglithium.com; or

        Under Bearing's SEDAR profile at: www.sedar.com.

Any questions or requests for further information regarding voting at the Meeting should be directed to the Corporation at info@bearinglithium.com.

Voting your Securities

Any registered Securityholder who would like to attend the Meeting can join physically at Suite 810 - 789 West Pender Street, Vancouver, BC, V6C 1H2 or can join virtually by going to https://meetnow.global/MATWUV4. In order to participate online, Securityholders must have a valid 15-digit control number and proxyholders must have received an email from Computershare containing an invitation code. During the live webcast, Securityholders and appointed proxyholders will be able to hear the Meeting live and will be able to submit questions and vote while the Meeting is being held.

Securityholders who hold their securities through a broker or other nominee who holds securities (an "Intermediary") should follow the instructions provided by their Intermediary to vote their securities.

Key Dates

The key dates for the above items described above are, or are expected to be, the following:

1. October 28, 2022: The Meeting will be held at 10:00 a.m. (Vancouver time).

2. On or about November 1, 2022: the British Columbia Supreme Court will hold the hearing in respect of a final order approving the Arrangement (the "Final Order") at 9:45 a.m.

3. On or about November 8, 2022: If the Final Order is obtained and all other conditions to closing the Arrangement are satisfied, the steps as set out in the Arrangement will occur in the order and times as set out in the Arrangement.
   

Bearing Lithium Corp. (“BRZ”) Chairman Gil Playford commented:

“As a holder of LPI Shares, you will continue to have an indirect ownership interest in the MSB Project, but in an ASX-listed company with greater trading volumes and trading liquidity than Bearing. Consolidating the MSB Project into a single entity is expected to yield significant benefits by creating one entity focused on advancing the MSB Project, which is expected to enhance the ability of LPI to arrange financing for the MSB Project, streamline the decision-making process and reduce overheads. In addition, if you continue to hold your LPI Shares, you will have the opportunity to participate in the potential upside created by the spin-out by LPI of its Western Australian lithium exploration assets into DemergeCo.”

About Bearing:

Bearing Lithium Corp (BRZ) is a pure-play lithium company focused on the development of Chile’s next high-grade lithium mine. The Maricunga joint venture (which includes LPI), in which Bearing holds a 17.14% interest, is the highest quality pre-production lithium brine project in South America and has one of the world’s highest-grade lithium resources at 1,167 mg/l lithium and 8,500 mg/l potassium. The September 2021 NI 43-101 compliant resource estimate for the deposit totals 2.9 Mt LCE now all classified as Measured and Indicated. Over $US 67 million has been invested in the Maricunga project to date.

For more Information, please contact:
Ray Baterina
Corporate Secretary
Info@bearinglithium.com
604-262-8835

Forward-Looking Information and Disclaimers

Certain information contained in this press release may contain forward looking statements within the meaning of applicable securities laws. The use of any of the words "continue", "plan", "propose", "would", "will", "believe", "expect", "position", "anticipate", "improve", "enhance" and similar expressions are intended to identify forward-looking statements. More particularly and without limitation, this document contains forward-looking statements concerning: the key terms of the Arrangement and the effect of its implementation on holders of Bearing Shares, Bearing stock options and Bearing warrants and the Corporation; stakeholder support for the Arrangement; the expected process for and timing of implementing the Arrangement; the anticipated benefits of the Arrangement for the MSB Project, the scheduling of the Meeting; the completion of the Arrangement, including with respect to obtaining any necessary approvals and satisfying any conditions and the expected timing thereof.

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The caterers for the volunteer workforce behind the summer’s MCH hacker camp in the Netherlands served all-vegan food. This wasn’t the bean sprouts and lentils that maybe some of the more meat-eating readers might imagine when confronted with vegan food, nor was it a half-as-good array of substitutes with leathery soy hamburgers and rubbery fake cheese smelling suspiciously of feet.

Instead it was a well-crafted, interesting, and tasty menu that was something to look forward to after several hours driving a vanload of handwashing sinks. It was in one of their meals that I found food for thought when driving a week later past the huge Garzweiler open-cast lignite mine on my way through Germany to Luxembourg’s Haxogreen as part of my European hacker camp summer tour.

The meal was deep-fried soy protein strips and the mine is probably one of Western Europe’s dirtiest and most problematic CO2 sources in a country that likes to imagine itself as environmentally friendly, so where in this unlikely connection did I find a pairing?

Finding The Point Of It All With The Aid Of A Vegan Breakfast

Looking into the gigantic pit at Garzweiler, while the earth grapples with environmental difficulties all around, it’s easy to pack up and go home. After all where’s the point in saving a few tons of CO2 when the German power industry is belching the stuff away like it’s 1972? But we’re hardware hackers, and we spend out time idly thinking of solutions rather than glumly accepting the futility of trying.

Which brings me back to that meal. Deep-fried soy protein strips don’t sound very appetising, but if I told you they’d given it just the right combination of fattiness, salt, and crispiness to make the perfect bacon replacement then maybe you’d at least understand why it made an impression.

Have you ever tried vegan fake bacon? It’s underwhelming, to say the least. Pink rubber strips with a suspiciously uniform consistency and a vaguely baconish flavour, they’re an expensive way to remind you of what you’re missing. Meanwhile the MCH caterers had nailed what makes bacon so bacony, by not trying to make bacon at all and devlivering something that very explicitly wasn’t being represented as bacon. On my MCH breakfast plate I had the perfect metaphor for how to approach green projects as a hacker, even if it took me a week to understand it.

Whether it’s fair or not, it’s safe to say there’s a long-held perception among consumers that the eco-version of a product is never going to be as good as the real thing. LED light bulbs and cyclonic vacuum cleaners may be triumphs of 21st century technology, but as anyone who has used some of the cheaper organic-solvent-free paints will tell you, sometimes eco-freindly substitutes are a mediocre substitute.

The lesson that came to me as the autobahn wound its way for miles round that huge hole in the ground was this: that just as with so many commercial attempts at plant-based food we are doomed to make a poor substitute if our solutions only seek to replicate what went before. Instead as hardware hackers, when faced with an environmental challenge we should seek to subvert what went before rather than simply make a bad job of copying it.

Ask Why, Don’t Simply Go Along With It

It’s easy to say that as a call to action, but how about an example? Oddly, while the LED light was cited as a triumph of an eco-friendly product, it serves to highlight a perfect case of clinging to an older technology. While an LED is a low voltage device, the LED lights most of us use are high voltage devices designed to replicate a filament lamp invented powered by a high-voltage AC mains supply, both of which were 19th-century inventions.

As a result our LED lights have a bunch of electronics to bring the mains voltage down to LED voltage, all of which serves only to waste power and to shorten the lifetime of the device. Why do we still use 19th century power distribution within our houses to run low voltage equipment? Finding an alternative that wastes less energy is what I’d call subverting what went before, rather than simply adapting the new to be compatible.

Driving past Garzweiler made a deep impression on me, one that persists more than a month later. I come from a place where lignite wasn’t mined and which has mostly shut its coal-fired power stations, so to be brought face to face with something which should by rights have ended decades ago was a shock. My voice is not enough to see it closed, but as an engineer I can turn my mind to ways to make its energy unnecessary. I hope you can too.

Garzweiler panorama: Raimond Spekking / CC BY-SA 4.0.