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Key data analytics trends shaping businesses in 2022 and beyond – Times of India

Over the past decade, data-driven business transformation has inspired enterprise leaders to reimagine business models, new revenue streams, customer experiences, operational models, and processes. Extracting actionable insights from business data often helps organizations bridge the last-mile gaps in analytics and drive faster value realization. In fact, it has grown so popular that market research by Global Newswire confirms the data science market is expected to be valued at nearly $133 billion by 2026.

Considering the impact that data analytics will have in the business world, it is crucial to identify the upcoming trends in this space. The following key trends will definitely play a role in shaping the data analytics industry of tomorrow.

Shifting from a project to a product mindset

Todays forward-thinking clients demand a sustainable, mature product-centric delivery model from their data analytics partners and want them to move from a project mindset to a product mindset. Data science is not limited to just building an accurate algorithm and creating a dashboard around it. Clients today want to go beyond just fancy dashboards; they want the ability to create full-stack applications that can be integrated into an enterprises decision-making process. This requires a mature product mindset. Clients today want a custom product shop, not a project shop. Adopting a product mindset will also pave the way for data analytics solutions that increase revenue and have better business outcomes.

Overhauling the revenue model

Enterprises have dramatically shifted revenue models in the wake of the Covid-19 pandemic. Fixed cost models are a thing of the past and data analytics solution providers are expected to have more at stake with a gain-share model or an outcome-based revenue model. Since the success of a data analytics solution primarily lies in measuring tangible outcomes, clients find it prudent to share both profits and risks equally with solution providers. This also prompts data analytics companies to continuously tweak solutions to ensure that the right business outcomes are met.

Adopting Agile methodologies

The Agile way of working is well established in the software development industry. However, Agile methodologies have only recently begun to gain traction in the world of data science. They allow data scientists to optimize outcomes by prioritizing tasks based on preset benchmarks and performance goals while empowering them to iterate, learn new things, and experiment until the desired result is achieved, strengthening the product mindset.

Operationalizing data science

Clients prefer service providers who operationalize and standardize their data science models and move them towards production environments. The answer to operationalization lies in the three ops MLOps, AIOps and DataOps. MLOps or model ops refers to the collaborative process of building, managing, deploying, and constantly monitoring machine learning models to consistently deliver the right inputs to the organization. AIOps or artificial intelligence ops is the implementation of AI to IT operations with the goal of governing IT structures that are hybrid and distributed. It contributes to smarter, quicker operations within an IT framework by managing the large amount of data generated. DataOps is an innovative methodology that seeks to optimize the time of a full-cycle data analytics solution. Its Agile approach to data analytics ensures that data scientists and users work together to create valuable analytical insights.

Last-mile in data science

Conquering the last mile in data science can be an enormous task. After the entire data collection, preparation, exploration, and modeling lifecycle, the last-mile adoption includes operationalization and translating those data models into actionable insights that drive business impact. This information can further be used to bridge the gap and offer cognizant inputs to drive operational changes in the enterprise. To ensure last-mile adoption, data scientists must start with conceptualizing solutions with the end goal in mind to ensure a clear blueprint to detail the kind of insights required to reach the set goal.

Another roadblock to last-mile adoption is the lack of data interoperability. Leveraging the right data and capitalizing on a robust data strategy hones the focus on execution for data scientists.

In conclusion, enterprise innovation has changed so has its work, methodology, scale, and speed. Data is at the epicenter of this change. Large enterprises are feasting on data, but theyre starved for insights. To drive successful adoption, analytics must be a holistic initiative that solves entire problem spaces. Data analytic strategies are best executed as a long-term vision at scale with incremental short-term wins, with participation from all functions with a stake. These impactful trends will change the shape of data analytics and technology in 2022 and beyond.

Views expressed above are the author's own.

END OF ARTICLE

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Key data analytics trends shaping businesses in 2022 and beyond - Times of India

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Dying glaciers, rising oceans, sparse data, uncalibrated models and the beauty of Gaussian Processes Regression | Science and Technology – Science and…

Abstract: This talk provides an in-depth exploration of a single science question, How much have glaciers contributed to sea level rise over the past 60 years?, for which data science techniques are applied to help bring together disparate observations and modeling to advance our understanding of the Earth System. The talk takes a utilitarian perspective to advancing scientific understanding through embracing of data science.

Author Details: Dr. Gardner is a Research Scientist in JPLs Sea Level And Ice Group since 2014. He studies the Earth's cryosphere (frozen Earth) with a particular focus on glaciers and ice sheets and their impacts on sea level rise and water resources. He is most interested in how glaciers respond to natural and human induced forcing and the implications for our future. Alex is a member of NASA's ICESat-2, NISAR, GRACE, Surface Topography and Vegetation, Surface Deformation and Change, and Sea Level Change Science Teams. He is also involved with many novel initiatives to measure ice on Earth, and elsewhere, including the use of snakelike robots (EELS) to look for life under Enceladus icy shell. Alex is also PI of the ITS_LIVE NASA MEaSUREs initiative.

WebEx (https://jpl.webex.com/jpl/j.php?MTID=m67864565d359f465f890770c2a039347)

Meeting number (access code): 2763 831 4152

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Dying glaciers, rising oceans, sparse data, uncalibrated models and the beauty of Gaussian Processes Regression | Science and Technology - Science and...

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Global Healthcare Analytics Market is expected to grow at a CAGR of >20% to cross $70 billion by 2025 – GlobeNewswire

BRUSSELS, Belgium, March 03, 2022 (GLOBE NEWSWIRE) --

Summary:

Medi-Tech Insights: The global Healthcare Analytics market growth is driven by growing complexity and volumes of data, supportive government initiatives, accelerated digital health adoption post Covid & rising VC/PE investments.

Description:

Healthcare data analytics combines real-time and historical data to predict trends, reveal actionable insights, and improve clinical, financial, and operational performance.

Shift towards Evidence-based Care Model

Data and analytics have been central to healthcare for decades. However, a major shift in how data is generated, aggregated and utilized is being witnessed as the healthcare industry moves from a fee-for-service to value-based care model.

Key Growth Drivers: Healthcare Analytics Market

The adoption of healthcare analytics is anticipated to grow rapidly worldwide as it can potentially reduce the cost of treatment, predict disease outbreaks, avoid preventable illnesses and improve the overall quality of care and life of patients.

Key Challenges: Healthcare Analytics Market

Healthcare data security and patient privacy issues, unstructured/fragmented data, ever-changing data, interoperability and data science skills gap are some of the key challenges to be addressed to witness exponential growth.

US Leads in terms of Adoption of Healthcare Analytics Market

The US is the largest market for healthcare analytics with >60% share, followed by Europe. In 2020, the US healthcare expenditure reached an all-time high accounting for 19.7% of its GDP. With skyrocketing costs, rising demand for value-based care and growing regulatory reporting requirements, the healthcare stakeholders are increasingly adopting data-driven solutions like analytics. This trend is evident by significant VC funding/PE investments in this field. Healthcare analytics companies raised $1.5 billion VC funding in the 1H of 2021, ~90% increase YOY.

Growing focus on Advanced Analytics

Based on our research & interviews with industry experts, currently, healthcare analytics companies derive most of their revenues from descriptive analytics however, increasingly the healthcare providers and payers are implementing predictive and prescriptive analytics.

On-premise Model still Prevailing

Cloud offers a flexible, scalable environment at a lower cost than on-premise deployments but still majority of healthcare analytics solutions are currently implemented on-premise due to security, control and privacy reasons. However, the trend is towards hybrid cloud storage model.- Founder, Executive Chairman, Healthcare Analytics Company, US

Competitive Landscape: Healthcare Analytics Market

The healthcare analytics market is fragmented with no clear leader. Key industry players having a strong foothold in the global market include IBM, Optum, Cerner, SAS Institute, Allscripts, Change Healthcare, MedeAnalytics, Inovalon, Oracle, Health Catalyst, SCIO Health Analytics, Cotiviti, VitreosHealth, Dedalus, LOGEX, Clanwilliam Group, Evolucare and Clinithink.

Explore Detailed Insights on Healthcare Analytics @ https://meditechinsights.com/healthcare-analytics-market/

About Us:

Medi-Tech Insights is a healthcare-focused business research & insights firm. Our clients include Fortune 500 companies, blue-chip investors & hyper-growth start-ups. We have successfully completed 100+ projects in the areas of market assessments, due diligence, competitive intelligence, market sizing and forecasting, pricing analysis & go-to-market strategy.

Contact Us:

Ruta HaldeAssociate, Medi-Tech Insights+32 498 86 80 79info@meditechinsights.com

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Global Healthcare Analytics Market is expected to grow at a CAGR of >20% to cross $70 billion by 2025 - GlobeNewswire

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Chess | Divya Deshmukh in sight of title – The Hindu

Scores her seventh straight victory after facing top seed R. Vaishali

Scores her seventh straight victory after facing top seed R. Vaishali

Continuing her dream-run, Divya Deshmukh brushed aside top seed R. Vaishali to move within a draw of winning the MPL National womens chess championship here.

On Tuesday, the youngster from Maharashtra posted her seventh consecutive victory from eight rounds by foxing Vaishali in the opening phase and closing out in 37 moves by bringing the queen back on the board.

Armed with a one-point lead, Divya needs only a draw against Soumya Swaminathan in the final round on Wednesday to win the title.

N. Priyanka (6.5) defeated Pratusha Bodda to hold the second place. Trailing half-a-point from Priyanka are Soumya, Padmini Rout, Arpita Mukherjee, Sakshi Chitlange, Srija Seshadri and Isha Sharma.

Important results:

Eighth round: R. Vaishali (5.5) lost to Divya Deshmukh (7.5); Soumya Swaminathan (6) drew with Padmini Rout (6); N. Priyanka (6.5) bt Pratyusha Bodda (5.5); Arpita Mukherjee (6) drew with Mary Ann Gomes (6); Sakshi Chitlange (6) bt Bhakti Kulkarni (5); Isha Sharma (6) bt Saina Salonika (5); Vrushali Deodhar (0) lost to Srija Seshadri (6).

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Chess | Divya Deshmukh in sight of title - The Hindu

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Indian chess IM in Ukraine is safe in Kyiv but faces tough call on trek to border – ESPN

Anwesh Upadhyaya, the Indian chess IM who is stranded in war-torn Kyiv, has to decide whether to risk traveling to the Polish border through the siege or stay home and await the consequences. His coach, Grandmaster Georgy Timoschenko, has joined the swelling number of Ukraine civilian fighters who've volunteered to take up arms against the invading Russians. For now, he says he is on his own.

The situation on-ground is complicated. There have been several reports of Indians facing a torrid time at the hands of Ukrainian border guards while trying to cross over to neighbouring European Union countries. "It's a bit tricky and emotional for them I believe," Anwesh told ESPN. "When their brothers and sisters are dying, here we are asking them to help us leave. A few people I know have left for smaller cities nearby and some others who were trying to make it to Poland are stranded midway."

The 30-year-old is a resident doctor at city hospital No 8, apprenticing in gastroenterology and has been living in the Ukrainian capital city. He had moving to have better tournament opportunities. Now, he is unsure of his next step.

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In an advisory on Sunday, the Indian Embassy informed its citizens that they would be arranging 10 buses on the Ukraine side of the Polish border from Monday. For Anwesh, the dilemma of how he'd make it to the pick-up points, several blocks away by road through a city that's under siege, remains. "The Indian embassy has asked us to manage our own transportation to the nearest EU borders or to stay home, if we feel unsafe. I have to decide whether to risk it outside trying to cross the border or stay home risk being collateral damage. Right now, it appears that we are on our own."

In an interview to the Associated Press, when asked if there are plans to evacuate citizens if Russian troops manage to take Kyiv, the once heavyweight boxing world champion and current Kyiv mayor, Vitali Klitschko replied - "We can't do that because all ways are blocked. Right now we are encircled."

Back in Bhubaneshwar, Anwesh's father Netaji is an understandably anxious man. A retired Zoology professor, he speaks haltingly, worried when he will be able see his only child. "I'm in constant touch with Anwesh. The Indian embassy's directions haven't been clear, I think," he said.

Before leaving for the battlefront, his coach Timoschenko had a request for his Indian student. "He asked me to take care of myself and check on his wife and kid in the bomb shelter and his daughter who lives in a flat." Not just Anwesh's trainer, national team coach GM Oleksandr Sulypa too has taken up arms and shared a picture of himself from the west Ukrainian city of Lviv, about 70 kms from Polish border, on social media.

For now, part of staying alive involves staying alert. Anwesh sleeps light and keeps his ears pricked to sounds of alarm as Russian air raids pummel Kyiv. He can't get himself to play any chess and re-watching Netflix shows serves as an occasional distraction. He is grateful that the power and heating systems at home are still functional and he spends a large part of his day refreshing news feeds on social media, searching for a sliver of hope. Some of it is pinned on the peace talks that are scheduled to take place on Monday between both sides on the Ukrainian-Belarusian border.

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Indian chess IM in Ukraine is safe in Kyiv but faces tough call on trek to border - ESPN

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What links chess, water and dead? The Saturday quiz – The Guardian

Questions

1 Whose murder in 1610 was the first to be called an assassination?2 Who wrote Twilight fan fiction under the name Snowqueens Icedragon?3 Which US decision-making body has 538 members?4 What is Britains most colourful corvid?5 Which African language is named from the Arabic for coastal?6 A cosmic year is the time taken to do what?7 Which classic dystopian film is set in 2022?8 Iznik ware came from which country?What links:9 Miriam; Deborah; Huldah; Noadiah; Anna?10 Eric Spear; Simon May; Tony Hatch?11 Luvironza River, Burundi, and Lake Tana, Ethiopia?12 Dead; Chess; Sermon; Water; Said?13 373; 100; 212?14 Gila monster; Komodo dragon; Mexican beaded lizard?15 Wrong (plant pot); Lucky (gingham bonnet); Snooty (topper); Snow (bowler)?

1 King Henri IV of France.2 EL James (origin of Fifty Shades series).3 Electoral college.4 Jay.5 Swahili.6 The solar system to revolve once around the centre of the Milky Way (c225m years).7 Soylent Green.8 Turkey (Ottoman empire).

Sign up to our Inside Saturday newsletter for an exclusive behind-the-scenes look at the making of the magazines biggest features, as well as a curated list of our weekly highlights.

9 Female prophets (named in the Bible).10 Wrote TV soap theme tunes: Coronation Street; EastEnders; Crossroads, Emmerdale and Neighbours.11 Origins (probable) of the White and Blue Niles.12 The Waste Land poem: last words of the five sections.13 Boiling point of water: kelvin; celsius; fahrenheit.14 Venomous lizards.15 Headwear of Mr Men and Little Misses.

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What links chess, water and dead? The Saturday quiz - The Guardian

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Meet Hyper-Tune: New SOTA Efficient Distributed Automatic …

The ever-increasing complexity of industrial-scale machine learning models has stimulated research into automatic hyperparameter tuning methods to boost the efficiency and quality of machine learning applications. Although automatic hyperparameter tuning is now an important component of many data systems, the limited scalability of state-of-the-art methods has become a bottleneck.

To address this issue, a research team from Peking University, ETH Zrich and Kuaishou Technology has proposed Hyper-Tune, an efficient and robust distributed hyperparameter tuning framework that features system optimizations such as automatic resource allocation, asynchronous scheduling, and a multi-fidelity optimizer plug-in. In empirical evaluations, Hyper-Tune achieves state-of-the-art performance across a wide range of tuning tasks.

The team summarizes their main contributions as:

The proposed Hyper-Tune framework contains three core components: a resource allocator, an evaluation scheduler, and a generic optimizer.

To automatically determine the appropriate level of resource allocation and balance the precision vs. cost trade-off in partial evaluations, the researchers used a simple yet novel resource allocation method that searches for a good allocation via trial-and-error.

The evaluation scheduler meanwhile is designed to leverage parallel resources via D-ASHA a novel variant of the ASHA (Asynchronous Successive Halving Algorithm) hyperparameter optimization algorithm introduced by Li at. al. in 2020 to simultaneously satisfy synchronization efficiency and sample efficiency.

To create a flexible and convenient system architecture that supports the drop-in replacement of different optimizers under the async/synchronous parallel settings, the team employed a modular design that enables plugging in different hyperparameter tuning optimizers. They also adopted an algorithm-agnostic sampling framework to enable easy adaption of each optimizer algorithm to the asynchronous parallel scenarios.

In evaluation experiments on publicly available benchmark datasets and a large-scale real-world dataset, the proposed Hyper-Tune framework achieved strong anytime and converged performance and surpassed state-of-the-art methods on hyperparameter tuning scenarios that included XGBoost with nine hyperparameters, ResNet with six hyperparameters, LSTM with nine hyperparameters, and neural architectures with six hyperparameters. Hyper-Tune also achieved up to 11.2x and 5.1x speedups compared to the state-of-the-art methods BOHB and A-BOHB, respectively.

The paper Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale is on arXiv.

Author: Hecate He |Editor: Michael Sarazen

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This is the reason Demis Hassabis started DeepMind – MIT Technology Review

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A handful of teams around the world have started using AlphaFold in work on antibiotic resistance, cancer, covid, and more. Roland Dunbrack at the Fox Chase Cancer Center in Philadelphia is one early adopter. He leads a team that has been using computers to predict protein structures for years. Other teams at the lab then use these structures to guide their experiments.

AlphaFold has introduced an unprecedented level of accuracy to Dunbracks work. They are accurate enough to make biological judgments from, to interpret mutations in a cancer gene, he says of its predictions. We always tried to do that with computer-generated models before, but we were often wrong.

When colleagues ask him to model proteins, Dunbrack says, he can now be more confident in what he gives them. Otherwise, he says, I get really nervous, worried that theyll come back to me and say, We wasted all this money and your model was terribleit didnt work.

AlphaFold can still make mistakes, but when it works well it can be hard to tell the difference between its predictions and a structure produced in the lab, says Dunbrack. He runs AlphaFold predictions on a computer platform called ColabFold, hosted by Harvard University and running on Google GPUs. Every night I set one up before I go to sleep, and they take a few hours to run, he says.

Its a super useful tool that everybody in my lab is using, says Kliment Verba, a structural biologist at the University of California, San Francisco. Verba mostly works on cancer, but in the early weeks of the covid-19 pandemic, he joined a loose consortium of researchers studying the SARS-CoV-2 virus. In particular, he wanted to figure out how its proteins hijacked host proteins.

Verba and his colleagues had produced part of the structure for the viral protein they were interested in, but they were missing a piece. Many proteins have multiple domainsdensely folded sections, a few hundred amino acids long, that can each have a separate function. One domain might bind to DNA, another might bind to another protein, and so on. Theyre multiheaded beasts, says Dunbrack.

Structurally, domains are like knots in a rope, connected by loose, looping strands that flop around. In the protein he was studying, Verbas team had figured out the rough shape of the rope but not the detailed structure of all the knots. Without that detail, there was little they could say about how it worked.

They realized, though, that this protein was one of those DeepMind had already run through AlphaFold and shared online. AlphaFolds prediction wasnt perfect; the looping strands werent quite right. But it had the shape of the proteins four domains. The researchers took AlphaFolds predictions for the domains and lined them up with the rough shape they had. It was remarkably close.

I remember that moment when I saw it fit, says Verba. It was amazing. We were now the only ones in the world with the full structure. They published their findings soon after.

Verba thinks AlphaFolds strength lies in finding structures for proteins that have not yet been fully studied. Many of the proteins we care about have been studied for decades, he says. People have spent careers chipping away at them, so we have a fairly good idea what they look like. But that still leaves a lot of uncharted territory.

Verba is interested in kinases, for example. Kinases are enzymes that play a crucial role in regulating the normal function of cells. If they stop working properly, they can cause cancer. Only around half of the 500 or so kinases in the human body are well understood; the remainder is known as the dark kinome.

Researchers like Verba and Dunbrack are interested in developing cancer drugs that target the kinome. But this is where AlphaFolds limitations kick in.

Because working out the structure of a protein in the lab is costly, it is typically done only once the protein has been picked as a promising candidatewhich might be months into the drug discovery process. The hope, Deane says, is that AlphaFold could reverse that sequence, making the pipeline move faster. Now I can start with the structureI can identify where it has pockets on the surface, places where I can bind drug molecules, she says.

A lot of the time these small transformations are the crux of biological function.

Yetas Deane acknowledgesyou need more than a static structure to fully understand how a drug and a protein might interact. Proteins do not stay still; their structures can cycle through subtle reconfigurations. A lot of the time these small transformations are the crux of biological function, says Verba.

Whats more, a protein may be open to receiving a drug in one state but not others. And judging from what researchers are seeing so far, AlphaFold appears to predict the most common state of these structures, which may not be the state that is important for drug development.

Proteins can also change shape when drugs bind to them, which can affect how the drug works. In the worst-case scenario, a drug binding to a protein can have unpredictable knock-on effects on adjoining proteins, potentially even reversing what the drug was designed to dofor example, activating rather than inhibiting some function.

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This is the reason Demis Hassabis started DeepMind - MIT Technology Review

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Offshore Studio returns with a mind-boggling lineup of unconventional graphic design projects – It’s Nice That

The studio has much to update us on. One of its recent endeavours, for instance, is a project entitled Not at Your Service: Manifestos for Design, created for Zurich University of the Arts. The project dissects the role of graphic design and the impact it has through the means of a publication, which is not conceived as a finished project, but as a fluid document of its time, Christoph tells Its Nice That. Inspired by old underground magazines, the team opted for a dynamic mix of text and imagery to accompany its sprawling though highly formulaic layouts. Not to mention its use wild combinations of typefaces and sizes, along with the addition of small, hand-drawn symbols and frames. Isabel continues to explain how they wanted to translate this subversive tone of the underground scene into the editorial format. So we came up with the idea of four differing layouts for the four main chapters, using different type sizes for each of them, getting smaller by each chapter. As such, the English texts are printed in red while German is in green at the end of each chapter; colour plays an imperative role as it dissects the difference between the quotes, essays and overall structure.

In other projects, the studio devised a website for the Bauhaus Foundation called Digital Atlas an interactive map of ideas, objects, styles and persons in relation to the educational side of Bauhaus. Users can deep-dive into the various art and design schools around the world to better understand the impact and migration of the ideas in relation to this prominent design movement. Another example is a publication named Elements, created during the residency at Jan van Eck Academie and edited with Jessica Gysel. Showcasing art and design exhibitions from the year 2021, the work involved addresses the Euregio cross-border region located between Germany and The Netherlands. We wanted to do a bit more than an exhibition catalogue and came up with the idea to make use of the four classical elements of water, earth, fire and air as a narrative threat for the publication, shares Christoph. These four elements were proposed to ancient cultures as a base to explain the nature and complexity of all matter and we wanted to look at the featured exhibitions through their lens.

Everything Offshore Studio works towards has this consistent level of cultural impact. Void of surface-deep concepts, the studios portfolio is littered with in-depth investigations into topics that really matter conceived through a playful mix use symbols, software and writing. Its all about figuring out how to translate certain ideas, concepts themes and spaces into a visual language that seems thematically appropriate, exciting and is capable of communicating specific information in an impactful and intriguing way.

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Offshore Studio returns with a mind-boggling lineup of unconventional graphic design projects - It's Nice That

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March Is The Last Month Of The Astrological Year Here’s What To Know – mindbodygreen.com

March begins still in the effect of the United States February 20 Pluto Return, an astrological moment that hasnt occurred for American since July 4, 1776. Russias invasion of Ukraineand the shocking resistance by Ukrainian military and civiliansunfolded right in step with this seismic transit.

We are now in the last month of the Western astrological calendar, leading up to the spring equinox on March 20. Pisces season is a time of closure, one thats been deceptively pegged as compassionate and spiritual, the opposite of warmongering.To be sure, these are among Piscean traits: artistry, imagination, and deep empathy are all this Neptune-ruled signs highest vibration.

The Pisces zodiac sign symbol (glyph) may hold the greatest metaphor for these interesting times. Its an icon of two fish, which represent our unconscious motives. These fish are bound together by an energetic cord, yet swimming in opposite directions.

Seen in that light, Pisces is the ultimate symbol of conflict, not peace. That conflict may be deeply internal, hidden from even our awareness. The duality of Pisces also reminds us of our oneness, even with our enemies. Pisces is the ultimate paradox: the more we struggle to escape each other, the tighter our binding rope becomes.

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March Is The Last Month Of The Astrological Year Here's What To Know - mindbodygreen.com

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