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Bitcoin drops back below $30,000, heads toward new low for the year – CNBC

A representations of virtual currency Bitcoin is seen in front of a stock graph in this illustration taken May 19, 2021.

Dado Ruvic | Reuters

The price of bitcoin dropped below $30,000 late Monday night for the first time since Jun. 22, dragging other digital coins lower with it.

Bitcoin is trading in the $29,000 range, about 3% lower on the day, according to Coin Metrics. Ether is down 1.25% and XRP fell 4%. Even with the plunge bitcoin is up 2.3% for the year, according to CoinDesk data. Ether and XRP are both up about 140% for the year.

The plunge came amid news that the New Jersey Attorney General issued a Cease and Desist Order against the New Jersey-based crypto services firm BlockFi, ordering it to stop offering interest-bearing accounts, according to Forbes and later confirmed on Twitter by the company CEO.

It also came after a big sell-off in global stock markets Monday, when the Dow Jones Industrial Averagehad its worst day since last October, though the markets reclaimed much of their losses Tuesday.

"There's been a broad sell-off in global markets, risk assets are down across the board," Annabelle Huang, partner at cryptocurrency financial services firm Amber Group, said.

There are "concerns of the quality and strength of economic recovery" and "broader risk assets turned weaker including high yields," Huang said. "Coupled with recent BTC (bitcoin) weakness, this just sent crypto market down further."

At one point early Tuesday, about $89 billion was wiped off the entire cryptocurrency market in a 24-hour period. Since bitcoin's all-time high of nearly $65,000 in mid-April, its price has plunged over 50%.

Regulators around the world are also looking more closely at the crypto space.

Binance, the world's largest cryptocurrency exchange, last month was barred by U.K. authorities from carrying out any regulated activities in the country. Regulators in Japan, Canada and Thailand have also issued warnings about Binance.

"In general we're seeing more regulatory focus on crypto and bitcoin," said Vijay Ayyar, head of business development at cryptocurrency exchange Luno.

Bitcoin's fall below $30,000 could be important, according to Ayyar, who said the sell-off could go lower to test the $22,000 to $24,000 level.

From then on, bitcoin could trade in a range.

"I would see bitcoin between 20-40K ($20,000 to $40,000) for a while now before any bullishness returns," Ayyar said.

Kinetic Capital's Chu also sees potential selling ahead.

"Q1's crypto market momentum has stalled and is threatening further reversal potentially below the $25K levels," Chu said.

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Bitcoin drops back below $30,000, heads toward new low for the year - CNBC

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Lifesciences Data Mining and Visualization Market Research Report 2021 Elaborate Analysis With Growth Forecast To 2027 IBM, TIBCO Software, Tableau…

As life science data visualization makes it easier to understand the graphical representation of complex data, companies are leveraging this technology to improve their facilities. One of the latest trends in the market is the growing importance of sharing life science data visualization to enable discerning results in an easy to understand format.

Lifesciences Data Mining and Visualization Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors in Media Industry. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capacities.

Get Sample Copy of this report with latest Industry Trend and COVID-19 Impact: http://www.a2zmarketresearch.com/sample?reportId=491770

Some of the Top companies Influencing in this Market includes: IBM, TIBCO Software, Tableau Software, Microsoft, Oracle, Information Builders, InetSoft Technology, SAP SE, MicroStrategy, Dundas Data Visualization, Pentaho, SAS Institute

Lifesciences Data Mining and Visualization Market is growing at a good% of CAGR during the forecast period 2021-2027. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market.

Various factors are responsible for the markets growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Lifesciences Data Mining and Visualization market. It also gauges the bargaining power of suppliers and buyers, threat from new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the Lifesciences Data Mining and Visualization markets trajectory between forecast periods.

Global Lifesciences Data Mining and Visualization Market Segmentation:

Market Segmentation: By TypeOn Premise, On Demand, BothMarket Segmentation: By ApplicationAcademia, Biotech, Government, Pharmaceuticals, Contract Research Organization (CRO), Others

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Regions Covered in the Global Lifesciences Data Mining and Visualization Market Report 2021:

The cost analysis of the Global Lifesciences Data Mining and Visualization Market has been performed while keeping in view manufacturing expenses, labor cost, and raw materials and their market concentration rate, suppliers, and price trend. Other factors such as Supply chain, downstream buyers, and sourcing strategy have been assessed to provide a complete and in-depth view of the market. Buyers of the report will also be exposed to a study on market positioning with factors such as target client, brand strategy, and price strategy taken into consideration.

Key questions answered in the report include:

Table of Content (TOC)

Global Lifesciences Data Mining and Visualization Market Report 2021 Growth, Trend and Forecast to 2027

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Lifesciences Data Mining and Visualization Market Research Report 2021 Elaborate Analysis With Growth Forecast To 2027 IBM, TIBCO Software, Tableau...

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Whats the buzz in Pune: July 17 to Aug 1 – Hindustan Times

National e-conference on data mining NCDM 2021- the national e-conference on data Mining & ICT is being organised by the Maharashtra Cosmopolitan Education Societys Allana institute of management sciences.To register go to https://forms.gle/2A71jKPii7pLzTob9When: July 17Where: Online

Zest Fest: exhibition-cum-sale

Camphor purifies air, while silver jewellery generates positive vibes and when it comes to farsan, it adds taste to your life. All three products on show and for sale. For details contact Paurnima Pawar on 94220 09772When: July 16 onwards (only weekdays); 10am-3pmWhere: 639 Kulkarni wada, Fadtare chowk, Kumthekar road, Sadashiv peth.

Beauty workshopLearn about the properties of ingredients used in products, sterilisation process, with five types of skin brightening products like skin brightening cream, lip lightening cream, skin brightening facewash, skin brightening serum and skin brightening face clay mask.Registration fees: Rs2,700 (including videos and PDF)To register contact +91 8306363530When: July 18Where: Online

Online story telling What is found here may be found elsewhere, but what is not found here cannot be found elsewhere. A few stories in the world are as intriguing as the Mahabharata, with its numerous plots and sub plots and characters with strengths and flaws in equal measure.Stories from the Mahabharata is an endeavour by Aparna Jaishankar to recreate an interest in this epic.To register please contact 9886294444When: July 18Where: Online

Insiders guide to content writingAre you losing opportunities due to a lack of knowledge of English language skills? Come and learn the basics of grammar and sentence formation for an in-depth understanding of how content is created.The instructor for this course Ushma Naik, an expert in instructional design and content management, as well as brand psychology. To register go to https://bit.ly/36v277DWhen: July 18Where: Online

Business seminarThe India Japan Business Council (IJBC) will hold two online seminars on India, an Alternative Investment Destination to China. Topic one will be an Indian economic outlook post-Covid 19 pandemic presented by Nilesh Shah, MD, Kotak Asset Management. The second topic is on ease of doing business in India, which will deal with ways of doing business in India, presented by Aliff Fazelbhoy, senior partner, ALMT Legal, Advocates & Solicitors, and Vaishakh Kapadia, Partner ALMT Legal, Advocates & Solicitors.To register go to https://us06web.zoom.us/meeting/register/tJ0vcO2grzktEtS9WGEAZCeOVhBvlfgU5gjSWhen: July 24 Where: 2021, online

Theatre workshopIAPAR presents an acting workshop facilitated by Vidyanidhee Vanarase. This programme will be conducted offline in a physical space with a limited number of participation keeping with guidelines from the government.For more details call +917775052719 or email us on iapar.office@gmail.comWhen: August 1 to 8; 10 am to 1 pmWhere: Kalachaya Cultural Centre, S B Road

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Whats the buzz in Pune: July 17 to Aug 1 - Hindustan Times

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Introducing automation to supply chain can boost production and ensure continuity in supply chain during pandemic – The Financial Express

It is high time that the immense logistics sector and its players start investing largely in machine learning, artificial intelligence, IOT, analytics.

By Dr. Ambrish Kumar,

This is the era of technological advancement and digital transformation. Every enterprise, sector and industry are optimising the processes and workflows with the help of technology and progressive automation. This does not mean that it takes away the workforce or reduces employment opportunities, but it turns the table in terms of efficiency of work and brings in cost-effectiveness.

The logistics and supply chain sector has not accelerated enough in terms of digital transformation over the years as much as other industries. However, we have seen gradual technology transformations since the past 3-4 years. Due to the overwhelming growth of the ecommerce sector and the market, there has been a twist in the logistics and supply chain processes. Also the consumer expectation has grown sky high with the logistics convenience that ecommerce has brought about with the help of technology and automation. The traditional logistics sector is still poised with the orthodox working models, they are finding it hard to meet the benchmarks set by the e-commerce players to cater to the fast-paced demands of the end consumers. In view of this, many technology-based start-ups and IT companies have capitalised on the situation and implemented automation solutions for the pain areas like first and last mile connectivity, warehousing, express pick-ups and deliveries, online freight booking platforms for air and ocean freight, etc.

Indian Government is also keenly implementing several measures with technology as the bottom-line. Also there have been several economic reforms and infrastructural developments to complement the automation so that there is a seamless supply chain in the future to consecutively bring down the logistics costs. This will make India a ripe hub for global investments for manufacturing, warehousing, and other supply chain requisites. We can see rigorous digitization efforts by the Government for the customs processes for import and export shipments, with faceless, contactless, paperless flagship programmes like Turant Customs, e-Sanchit, SWIFT (Single Window Interface for Facilitating Trade and Direct Port Delivery), ICEDASH, ATITHI and so on. These initiatives have been exemplary and most awaited transformations by the Indian Government which has assisted in simplifying and centralising the prolonged processes that were prevalent earlier.

The Government is also planning and also working on developing centralised platforms and single window gateways that integrate the logistics players, exporters, importers with the ports, CFS, cargo terminals, customs, trade bodies, etc so that the whole network of supply chain is accessible and visible from a single window. One such model is the Port Community System (PCS) that will be a central grid for real time tracking container movements, vessel schedules, across the network of most Government owned ports. The integration will be linking the ports, CFS, shipping lines, multi-modal transportation facilities, first and last mile service providers, banks, etc. The National Logistics Policy on which the Government is working has a significant emphasis on bringing in more centralised platforms and single window solutions for easing the supply chain processes and bringing the logistics cost down from the current 14% of GDP.

Another matter of concern is that, while there is automation taking place in the supply chain sector, and there have been investments, acquisitions, mergers over the past few years but digitization is occurring on enterprise or entity level. It is a boon that there have been several start-ups that have come up and excelled in resolving the first and last mile connectivity and some have grown into unicorns. There are others who have come up with technology-based warehousing and storage solutions. There are a few others who are offering online freight booking platforms. However, there is a lack of integration between these players. Hence, still it can be stated that while there is automation taking place, the bigger purpose will be accomplished only when there is technological integration between the various stakeholders of the supply chain.

It is high time that the immense logistics sector and its players start investing largely in machine learning, artificial intelligence, IOT, analytics. There is a huge amount of data generated in the supply chain sector that can be optimized and used for improvement of the lagging processes and leveraging customer experience. The players need to sprint to the advanced data mining processes to rightly make use of the voluminous data that cannot be analysed using the conventional data processing techniques that are currently followed. This will help in predictive analysis assisting the enterprises and organisations to take precise decisions, thereby enhancing operational efficiencies, and reducing risks. AI will help in forecasting customer demands based on product characteristics, mitigating imminent risks, assessing prospective potential markets, rationalizing supply, balancing the demand and supply trends based on real-time inventory data, reducing wastage of supply and resources, improving timelines and schedules, precise anticipation and contemplation of the future possibilities, and improving the supply chain efficiency through optimized reaction and turn-around times. The ultimate aim in the logistics sector has to be the implementation of blockchain technology that will lead to complete transparency and visibility of the whole supply chain ecosystem.

The logistics sector requires more web and mobile applications from where the manufacturers, exporters, importers can sit back at their ease and avail the logistics services in the domestic and global front with reduced interference of the mediators. The largely fragmented and disintegrated logistics sector has made the situation all the more worse during the pandemic when the operation of various stakeholders came to a standstill owing to lockdowns and other quarantine measures as they were not technologically equipped to handle such an uninvited chaotic scenario.

The pandemic has highlighted the need for sheer automation of the logistics and supply chain workflows. It has shown how technology helps in business continuity in such hours of despair. A transparent logistics system and supply chain without loopholes and with sheer visibility is the need of the hour. India can rise further up on the global EoDB index much faster if the logistics sector gets a technological impetus.

(The author is Founder of Zipaworld and Group CEO, AAA 2 Innovate Private Ltd. Views expressed are personal and do not reflect the official position or policy of the Financial Express Online.)

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Introducing automation to supply chain can boost production and ensure continuity in supply chain during pandemic - The Financial Express

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Get Recruited: Top Data Science Jobs to Apply this Weekend – Analytics Insight

Data science is an essential part of any industry today, given the massive amounts of data that are produced. Data science is one of the most debated topics in the industries these days. With its growing popularity, the jobs related to data science are also growing. Here are the latest data science jobs one can apply for this weekend.

Location: Kolkata, West Bengal

Responsibilities

Requirements

Apply here.

Location: Chennai, Tamil Nadu

Primary responsibilities:

Education & Required Skills:

Apply here.

Location: Hyderabad, Telangana

The company is looking for a skilled Data Analyst to join their FinTech Data Analytics team at Uber, Hyderabad to support their downstream financial systems. In this role, the employee will get an incredible opportunity to leverage analytics and science to get insights from financial data, help develop their financial reporting systems, detect anomalies in data, and streamline reporting of various financial metrics. The company will work closely with senior leaders in Finance, Product, Data Science, Engineering, and other stakeholders on fast-moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities is a must for this role (financial knowledge is not expected to apply for this role but is a plus). Their performance is measured by the insights the employee gives, the effectiveness of communication, and the initiative to drive ideas and implement them into action.

Apply here.

Location: Chandigarh

Responsibilities

Requirements

Apply here.

Location: Bengaluru, Karnataka

Responsibilities:

Apply here.

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Get Recruited: Top Data Science Jobs to Apply this Weekend - Analytics Insight

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IBM’s 3% sales growth may not seem like much but it’s the biggest it’s had in three years – The Register

IBM on Monday reported better than anticipated revenue for Q2 2021, sending its shares up in after-hours trading.

Big Blue, evidently unfazed by a multi-week email disruption that's still not entirely resolved, delivered sales totaling $18.7bn for the quarter, an increase of three per cent year over year. It's the strongest revenue growth for the biz in three years. Net income, however, fell by three per cent to $1.3bn for the quarter.

That translates to non-GAAP adjusted earnings of $2.33 per share, seven per cent more than the $2.18 reported during the same period in 2020. Analysts on average expected something more like $18.3bn and diluted EPS of $2.29.

VQGAN+CLIP AI-generated image for the phrase 'IBM reports strongest revenue growth in three years' that we thought we'd just toss into this piece

In the second quarter client adoption of our hybrid cloud platform contributed to strong performance in Global Business Services and software and drove improved overall revenue growth," said Arvind Krishna, IBM chairman and chief executive officer, in a statement. "At the same time, we continued to help clients infuse our AI-based technology offerings into their core business workflows."

Business unit results from the quarter were as follows:

IBM's Cloud & Cognitive Software group includes results for Red Hat, which was up 20 per cent. Big Blue reported a GAAP gross profit margin of 48.0 per cent and a debt reduction of $6.4bn since the end of 2020.

On the company's earnings call for investors, Krishna discussed how companies are using IBM technology to redesign their business processes and are pursuing digital transformations enabled by hybrid cloud environments.

He cited an AI-powered customer service assistant IBM built in a few weeks for CVS Health to help handle customer COVID-19 inquiries as an example of the sort of deals that will drive future revenue.

IBM reported spending $1.7bn on acquisitions during the quarter. The company previously announced plans to acquire business process data mining firm myInvenio, app management biz Turbonomic, and Salesforce consultancy Waeg.

Meanwhile, the IT titan expects to complete the spinoff of its Global Technology Services unit under the name Kyndryl by the end of the year.

On the home front, IBM has managed to mostly restore its email servers, though a few problems have yet to be ironed out.

"Users on certain clusters may be seeing a slight delay with delivery of external mail, and we will be working this week to decrease delivery times to normal levels," the company said in a recent status update provided by an internal source.

"We will continue providing daily updates here as we continue work to monitor and improve the health and stability of the mail environment and improve the overall experience."

The company communique said IBM is continuing to work with email service provider HCL to improve the Verse webmail experience.

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IBM's 3% sales growth may not seem like much but it's the biggest it's had in three years - The Register

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Speaking Algae: Tapping the Ancient Power of Microalgae Using Synthetic Biology – Technology Networks

Albert Einstein famously said, the only source of knowledge is experience.

What if we take this principle to an extremesay, millions or even billions of years of experience living on Earth? What knowledge might be available?

We dont need to guess. We can look to microalgae, some of the oldest and most experienced organisms on our planet.

But, this begs the question, how do humans tap into microalgaes life experience to acquire valuable knowledge? To do so, we must learn to speak their language and translate that information into useful applications for society and its industries. Amazingly, recent strides in microalgae biotechnology, synthetic biology, and biomanufacturing are making that possible.

The continuous evolution needed to master the planets many ecosystems drove the creation of an impressive diversity of microalgae species, with conservative estimates landing around 70,0003 species and others reaching 200,000 to several million.1,4 Through natural selection, each species became fine-tuned to their specific light conditions and available resources. Each species also ultimately developed unique natural product profiles and metabolic characteristics, turning light and CO2 into specific organic materials needed for their survival.

While microalgae have been used in food and nutrition worldwide for centuries,5it wasnt until the middle of the 20th century that scientists began exploring the application of microalgae in biotechnology. Researchers realized that microalgae could be used as a sustainable, photosynthesis-powered expression chassis.

The first successful example occurred in the 1980s when commercial groups cultured Dunaliella salina to produce -carotene,6 a nutraceutical supplement that the body converts to vitamin A. We now know that microalgae species can produce a variety of high-value materials, like pigments, flavors, fragrances, growth factors, fatty acids, antioxidants, oligosaccharides, proteins, terpenes, amino acids, peptides, and many more materials desired by key industries. Until recently, the vast majority of algae biotechnology attention and funding focused on biofuel production, with limited commercial success.7

However, specific technological challenges precluded commercial success. Biofuel producers struggled to increase microalgae cultivation to commercial scales while maintaining rapid growth rates, photosynthetic efficiency, ideal metabolic profiles, and algae stability.9 While exploring untapped microalgae diversity to find a more fit-to-purpose expression chassis could resolve some of these challenges, the data mining, characterization, selection, and development of new species was often too time and labor-intensive. As a result, biofuel producers largely focused on a small subset of known microalgae species, which narrowed the collective vision of microalgae applications.

Furthermore, microalgae cultivated in large-scale, open-air pond systems were prone to contamination and inconsistent production. Unfortunately, more tightly-controlled production processes using photo-bioreactors were also not viable at that time, particularly when it came to their light source.9

While microalgae biofuels still have potential, these challenges indicate that it is time to consider microalgae as an expression chassis for a wider range of materials, particularly those required at smaller scales than biofuels. Propelled by findings from biofuel research, organizations are now realizing the rich opportunities of using microalgae to produce high value low volume products.10Discoveries of commercial relevance will grow exponentially as more microalgae species are characterized, since only a small number (~15) are grown at meaningful commercial scales today.

These advancements have also enabled better characterization of these species and their specific cultivation requirements. Thus, researchers can more quickly identify the optimal conditions that enable specific microalgae to grow rapidly and produce their target molecules.

Tapping into the bioproduction capabilities of microalgae species also requires new advanced manufacturing technology to solve microalgaes historic scale-up challenges.

Most importantly, the past decade of algae research has cemented that light conditions massively impact algae growth, gene expression, and biomaterial production on a species-specific basis. Light is the primary medium by which microalgae interact with their environment. So, to tap into the natural diversity of microalgae, we must speak algae using light as our language.

All microalgae maintain intricate light-sensing systems, made up of a network of photoreceptors and associated signaling pathways.14These photoreceptors control different biological functions and regulate specific gene expression to help algae respond to changing environmental conditions. Having evolved in very different ecosystems, these photosystems vary significantly between species, as do their photoreceptors and the in vivo functions they control.15Thus, biomanufacturers must understand how this complex network of photoreceptors functions for each species. With the ability to carefully tune photosynthesis, biomanufacturers can control microalgae growth, development, and biomaterial expression to suit their needs. Importantly, AI and synthetic biology approaches also help researchers determine and augment both ideal light conditions as well as conditions that impact the production of valuable organic materials and recombinant gene expression across species.

To make use of algae's special relationship with light, biomanufacturers needed photo-bioreactors capable of providing high-intensity light across a variety of specific wavelengths and illumination periods. Up until a few years ago, this was virtually impossible at commercial scales. However, recent advances in LED technology now enable more advanced photo-bioreactor approaches,16 solving their past challenges. While once restricted to specific wavelengths, LEDs can now produce light across a much wider spectrum.17 Additionally, LEDs are now also much more efficient, smaller, and cheaper,18 which drastically increases their commercial viability in bioreactors. Together, these LED advancements make it possible to construct ideal light conditions for specific algae species without limitations regarding photo-bioreactor design and operation expenses.

While improved lighting is the most important technological advancement, sufficiently protecting the fragile structures of microalgae remained another persistent scale-up challenge.19 New bioreactor approaches and culture strategies have also helped to increase microalgae stability during biomanufacturing. Furthermore, the advancement of computational fluid dynamics has increased our ability to predict and understand light penetration in water, gas transfer efficiency, and fluid flow to better protect fragile algae species which historically have been difficult to grow.20 In combination with LED advancements, this means commercially viable photo-bioreactors are now possible and available, opening up greater scale opportunities.

The microalgae biotechnology community has learned from the challenges of the past and is now ready to make microalgae bioproduction commonplace across many industries, including pharma, biopharma, animal health, agriculture, food and beverage, energy, and beyond. Despite having only a measly 200,000 years under our belt, human experience has its merits too. With this cumulative knowledge, the future of microalgae is at least LED-bright.

References:

1. Singh J, Saxena RC. Chapter 2: An Introduction to Microalgae: Diversity and Significance. In: Handbook of Marine Microalgae. Elsevier; 2015:11-24. doi: 10.1016/B978-0-12-800776-1.00002-92. Oren A, Ionescu D, Hindiyeh M, Malkawid H. Microalgae and cyanobacteria of the Dead Sea and its surrounding springs. Israel Journal of Plant Sciences. 2008;56(1-2):113. doi: 10.1560/IJPS.56.1-2.13. Guiry MD. How many species of algae are there? Journal of Phycology. 2012;48(5):10571063. doi: 10.1111/j.1529-8817.2012.01222.x4. Norton TA, Melkonian M, Andersen RA. Algal biodiversity. Phycologia. 1996;35(4):308-326. doi: 10.2216/i0031-8884-35-4-308.15.Garca JL, de Vicente M, Galn B. Microalgae, old sustainable food and fashion nutraceuticals. Microb Biotechnol. 2017;10(5):1017-1024. doi: 10.1111/1751-7915.128006. Borowitzka MA. Algal Biotechnology. In: Sahoo D, Seckbach J, eds. The Algae World. Cellular Origin, Life in Extreme Habitats and Astrobiology. Vol 26. Springer Netherlands; 2015:319-338. doi: 10.1007/978-94-017-7321-8_117. Rapier R. Algal biofuels dead? Not so fast, says algal biofuel researcher. Forbes. https://www.forbes.com/sites/rrapier/2018/11/02/algal-biofuels-dead-not-so-fast-says-algal-biofuel-researcher/?sh=3ea8050a56c4. Published November 2, 2018. Accessed June 8, 2021.8. Georgianna RD, Mayfield SP. Exploiting diversity and synthetic biology for the production of algal biofuels. Nature. 2012;488(7411):329-335. doi: 10.1038/nature114799. Randhawa KS, Relph LE, Armstrong MC, Rahman PKSM. Biofuel production: tapping into microalgae despite challenges. Biofuels. 2017;8(2):261-271. doi: 10.1080/17597269.2016.122429010. Dolganyuk V, Belova D, Babich O, et al. Microalgae: a promising source of valuable bioproducts. Biomolecules. 2020;10(8):1153. doi: 10.3390/biom10081153 11. Fabris M, Abbriano RM, Pernice M, et al. Emerging technologies in algal biotechnology: toward the establishment of a sustainable, algae-based bioeconomy. Front Plant Sci. 2020;11:279. doi: 10.3389/fpls.2020.00279 12. Doron L, Segal N, Shapira M. Transgene expression in microalgaefrom tools to applications. Front Plant Sci. 2016; 7. doi: 10.3389/fpls.2016.00505 13. Carbonell P, Radivojevic T, Martin HG. Opportunities at the intersection of synthetic biology, machine learning, and automation. ACS Synth Biol. 2019;8(7):1474-1477. doi: 10.1021/acssynbio.8b0054014. Kianianmomeni A, Hallmann A. Algal photoreceptors: in vivo functions and potential applications. Planta. 2014;239(1):1-26. doi: 10.1007/s00425-013-1962-515. Jaubert M, Bouly JP, dAlcala RA, Falciatore A. Light sensing and responses in marine microalgae. Curr Op Plant Biol. 2017;37:70-77. doi: 10.1016/j.pbi.2017.03.00516. Darko E, Heydarizadeh P, Schoefs B, Sabzalian MR. Photosynthesis under artificial light: the shift in primary and secondary metabolism. Philos Trans R Soc Lond B Biol Sci. 2014;369(1640):20130243. doi: 10.1098/rstb.2013.0243 17. LEDs: state of the union. Arrow. https://www.arrow.com/en/research-and-events/articles/leds-state-of-the-union. Published May 31, 2020. Accessed June 8, 202118. Ryan KJ. The 10 greatest inventions of the past decade. Inc. https://www.inc.com/kevin-j-ryan/greatest-inventions-decade-2010-2019.html. Published December 16, 2019. Accessed June 8, 2021. 19. Gudin C, Chaumont D. Cell fragility the key problem of microalgae mass production in closed photobioreactors. Bioresource Technology. 1991;38(2-3):145-151. doi: 10.1016/0960-8524(91)90146-B 20. Kusmayadi A, Suyono EA, Nagarajan D, Chang J-S, Yen H-W. Application of computational fluid dynamics (CFD) on the raceway design for the cultivation of microalgae: a review. Journal of Industrial Microbiology & Biotechnology. 2020;47(4-5):373382. doi: 10.1007/s10295-020-02273-9

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The Future of Risk Management: Digitization in Credit Risk Management – S&P Global

Credit and risk management professionals in financial services face numerous challenges every day. Volatile market conditions, increased competition from Fintech firms, and fears of cyber security breaks are just some of the market pressures that have increased the need to work faster and smarter than ever before. This has driven many firms to look at ways to digitize their credit risk workflows to help streamline activities and improve efficiencies. To provide a lens on some of the trends reshaping credit risk practices, Digitization in Credit Risk Management summarizes insights we gathered from over 200 professionals in countries around the world to see what steps they were taking before the COVID-19 pandemic took hold and how this unprecedented time has accelerated change. This blog summarizes some of the findings in the report.

Digitization Efforts Began Before COVID

There has been a growing push for credit and risk management teams to improve operating procedures and the efficiency and quality of decision making. A full three quarters (75%) of respondents to our survey were already working on digitization efforts before the pandemic hit to capitalize on a range of benefits. A large number (71%) indicated that digitization provides for better risk control and management to protect organizational profitability, while 62% mentioned improved efficiencies and 59% pointed to having better early-warning systems in place.

Not surprisingly, 70% of respondents said the pandemic accelerated these efforts, as the rapidly changing environment and surge of bankruptcies taxed traditional credit risk management workflows. Many began to look for alternative sources of data, new analytical approaches, and more dynamic reporting to stay on top of deteriorating credit conditions.

The Pandemic Underscored the Need for More Timely and Granular Data

Many credit and risk professionals were challenged by not having essential information at their fingertips at the start of COVID-19, especially when it came to assessing small- and medium-sized enterprises. This spurred firms to consider a range of new approaches on the data front. About half (51%) of respondents are looking to combine alternative sources with traditional data to help estimate resilience to crises situations. In addition, others are considering data mining and machine-learning techniques to extract new and deeper insights, and upgraded data platforms for faster data delivery.

Listen to our webinar replay on Data That Delivers: Automating the Credit Risk Workflow

Existing Analytical Approaches Also Came Under Pressure

Given the wave of non-performing exposures seen during the pandemic, many credit and risk management professionals have focused on enhancing their models and early-warning systems to quickly identify potential problems. Half (50%) of respondents are looking to update models to better estimate probabilities of default, loss given default, and recoveries. In addition, half (50%) want to monitor portfolios in a more granular manner with back-testing exercises and internal ratingsbased models, while over one third (37%) want to put in place advanced early-warning systems.

More Dynamic Reporting Emerged as a Must Have

Having lived through a crisis situation, 64% of respondents now see the importance of developing more automated and dynamic reports for executive decision-making. It has become clear that creditworthiness not only differs by sector and sub-sector, but also within these categories, requiring more detailed monitoring. In addition, a range of new risks related to environmental, social, and governance (ESG) issues and additional regulations must now be taken into account.

Progress is Being Made on All Fronts But More Must Be Done

When considering data, analytics, and reporting, the most progress has been made on the data front, according to 39% of respondents. Interestingly, however, data is also seen as the most challenging area as more firms try to uncover hard-to-find, granular information on public and private, and rated and unrated companies around the world to dig deeper on potential risks.

Firms Look for Additional Support to Move Ahead

Half (50%) of respondents are using a combination of internal and external resources for their digitization efforts. When asked how third-party providers could enhance their credit risk management offerings to address some of the challenges around digitization, many answers were given. Almost two thirds (63%) of respondents are interested in predictive analytics or insights, while 58% would like to see advanced analytics for early-warning systems. To meet growing demands, third-party providers are taking their risk management capabilities to new levels, and considering where investments are most important.

For more details on our findings, please read Digitization in Credit Risk Management.

In addition, learn more about how to transform your global credit risk assessment workflow with S&P Global Market Intelligences flexible and scalable Credit Analytics Enterprise Solutions.

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Learn how analytics is being used by hospitals today – Hindustan Times

In the healthcare industry, there is an overwhelming amount of information that needs to be processed. Data analytics helps with that. Hospitals rely on data analytics and machine learning tools to manage the databases. These data sources can then be used to predict patient outcomes and care methods.

To work as a data analyst at any healthcare centre, one needs to study business analytics. Imarticus Learning offers courses, including a PGA course that can help students get placed with hospitals and clinics.

In what ways do hospitals use analytics?

Hospitals and other healthcare centres are becoming increasingly reliant on data analytics. Imarticus Learning offers the best course for data analytics, for those who are interested in this field. Before deciding on the course, take a look at the following points to understand how hospitals use data analytics.

Vaccine Prediction and Management

Vaccine production is based on preliminary research and data analytics can give the right resources. It can provide the necessary metrics after going through available data regarding the disease and the conditions of those affected. Hospitals can also use data analytics tools to ensure proper distribution.

Heart Disease Prediction

During a general diagnosis, a vast amount of data is collected. Exploratory data analysis can sift through this data and look for any potential causes of heart disease. This helps save a lot of time and doctors can immediately come up with a course of action.

Care of Patients with Chronic Illnesses

For chronically ill patients, machine learning and data analytics tools are used to provide proper care. These tools can help the hospital staff come up with solutions that will provide long-term relief. Machine learning can also be used to alert the staff if there is any sudden change in a patient.

Treatment Plans

Data analytics can be used by doctors to understand how a patient will respond to certain types of treatments. There is no need to depend on a trial-and-error method. A patient's medical history is used to predict an outcome. Depending on what that outcome is, a treatment plan is decided.

Students can opt for the online data analytics certificate program from Imarticus Learning if they wish to have a career in this field. The course by Imarticus provides in-depth knowledge about data science and analytics, and also about machine learning. There are two modes of training available: classroom and online, and learners can choose whichever is convenient. Since the curriculum has been created with professionals, this data analytics course at Imarticus will prepare students for the industry. At the end of the course, students will get the opportunity to sit for interviews.

Predictive Analytics in Healthcare

Predictive analytics includes the use of statistical tools to understand available facts. Data mining, machine learning, and the use of predictive models help to make accurate predictions based on current and past data. If one wishes to work in this area, one must study business analytics and data science. There are plenty of jobs available, particularly in the healthcare sector.

Due to the Covid-19 pandemic, the efficiency of healthcare services has had to increase tenfold. The only way hospitals have been able to control and combat the conditions is by using data analytics. Predictive analytics have given the necessary information to doctors and healthcare experts. This has led to the fast rollout of vaccines, quick response in treatment plans , and preventive care.

Imarticus Learning's online data analytics certificate program is a great step towards a career as a data analyst or scientist. The course prepares students for placements at top companies, including hospitals. The course also includes project work which helps students develop skills and get hands-on experience. This is the best course for data analytics. It is for new graduates and working professionals, alike. A data science program or DSP from Imarticus Learning will set them up for a stable and successful career.

Disclaimer: This is a company press release. No HT journalist was involved in the creation of this content.

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Digitally enabled brokers – The future of Indian real estate – Construction Week Online India

The pandemic accelerated the shift to digital for industries everywhere - at the same time, however, it exposed significant gaps in digital capabilities that currently exist in certain sectors. Real estate is among the industries that traditionally relied on physical interaction and was thus forced to rapidly innovate when the lockdown hit. What we are witnessing right now is a transformation of sorts, as digitisation changes the face of how real estate has always been in India.

According to estimates, the real estate sector in India will be worth $650 billion by 2025, contributing to 13% of Indias GDP. Despite the setback to demand after the lockdown, homeowners are once again exploring prospective flats and houses, with home sale units doubling between October and December 2020. With lockdowns getting consistently extended, relaxed and then imposed again, planning for in-person appointments to tour houses is extremely difficult. Real estate firms and developers are thus switching to online options to win customers over and close home deals. This, in fact, marks a big step forward in a trend that had already begun over the last few years - systematic, hassle-free online search for homes. A mix of time-tested technologies and new real estate-specific innovations are being brought in to achieve this. Here are some trends we can expect to see growing over the next few years.

*Multiple listing services - These are portals that act as demand-supply aggregators by displaying all relevant properties sorted by popularity, price and location and thus enable a quick comparative view of whatever is available. This is a first-level filter that helps homeowners choose better and is now a must-have everywhere. These portals are also equipped with data mining capabilities that assess buying and selling trends and can thus proactively anticipate demand.

*utomated operations - In the post-Covid world, real estate agents who do not use technology in their daily lives will fall behind. We will thus witness the use of more digital lead management tools to qualify and generate leads. Paperless documents, ERP systems, online approvals and automatic dashboards are all becoming the norm.

*Customer connections - Forming strong customer relationships will continue to be top priority, even if physical meetings take a backseat. Agents who stay in regular touch with their clients through messaging and social media platforms will see more lead closures, as those customers are likely to remember the agents and to reach out to them when needed.

*Virtual reality - Todays homeowners are no longer interested in just viewing static property images. They expect to be able to tour each property virtually from the comfort of their homes before they even consider paying an actual visit. Companies are responding to this by investing in virtual reality that offers 360-degree virtual tours, immersive experiences for each home. Supplemented by video calls and consistent customer support, this is quickly becoming a popular way for homeowners to close deals without venturing forth unnecessarily. While still in its infancy, this technology is likely to flourish, even after lockdown restrictions have been lifted.

*Cloud-based offices - Real estate agents have to spend a considerable amount of time out in the field. At the same time, renting or leasing a commercial office space is an expense that the current lockdown situation cannot justify. Real estate firms like exp India, Anarock, Squareyards etc. are thus shifting the office experience to the cloud, starting with anytime-anywhere access to entire virtual office setups where employees can log in and experience the sense of community and collaboration that they would in a real-world setup. These virtual solutions can reduce Zoom fatigue and the pressure to always be online, break departmental silos and foster a shared culture to help agents feel less isolated. Simultaneously, firms are investing in the digital education of their agents through online tutorials and universities that focus on real-estate skills as well as soft skills. This equips agents to be more confident and also boosts their lead closure rate, as they deliver the kind of top-notch online experience that customers deserve.

The digital revolution in Indian real estate may have been born out of necessity, but its leading to changes that will benefit the industry in the long-run. Companies are taking serious steps to go digital and adopt cloud-based brokerage solutions without delay, while also empowering the brokers who may not traditionally be comfortable with digital methods. Technology will be at the fore of most real estate decisions from now on, and we can expect positive changes and accelerated industry growth as a result.

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