-
BTC 66,492.13 (-0.63%) -
ARS 1,108.40 (+0.54%) -
ETH 3,080.66 (-1.11%) -
SOL 170.63 (-1.48%) -
PEPE <0.01 (-3.27%) -
BONK <0.01 (-4.06%) -
WIF 2.55 (-0.87%) -
DOGE 0.15 (-2.20%) -
LINK 16.73 (+2.34%) -
FTM 0.85 (-4.60%) -
RNDR 9.99 (-3.57%) -
BOME 0.01 (-4.27%) -
XRP 0.51 (-1.90%) -
NEAR 7.84 (-1.35%) -
CREAM 85.73 (+47.43%) -
RUNE 6.64 (-2.21%) -
ORDI 40.08 (-3.17%) -
ENA 0.71 (-5.07%) -
FLOKI <0.01 (-4.73%) -
BCH 486.00 (+2.40%) -
AVAX 35.70 (-4.32%) -
PYTH 0.37 (-16.97%) -
RSR <0.01 (-3.22%) -
PEOPLE 0.04 (-4.42%) -
WLD 4.75 (-5.00%) -
FIL 5.58 (-4.41%) -
ICP 12.68 (-3.82%) -
AEVO 0.79 (-3.67%) -
FARM 77.85 (+15.73%)
Taasisi mara mbili chini ya AI katika biashara JPMorgan utafiti
(Institutions double down on AI in trading JPMorgan survey)
Published: 2024-02-12
1. Jukumu la AI katika Taasisi za Biashara: Makala hiyo inazingatia jukumu muhimu ambalo Akili ya bandia (AI) inacheza katika taasisi za biashara, haswa katika kesi ya JPMorgan. AI imekuwa chombo muhimu kwa taasisi za kifedha, kuwawezesha kuchambua kiasi kikubwa cha data na kufanya maamuzi sahihi katika sehemu ya muda itachukua kwa mchambuzi wa binadamu. JPMorgan imekuwa ikijumuisha AI kikamilifu katika mikakati yao ya biashara, kutumia algorithms za kujifunza mashine ili kuboresha michakato ya biashara na kuongeza utendaji. Kwa kutumia teknolojia za AI,JPMorgan ina uwezo wa kuchambua mwenendo wa soko, mifumo ya kutambua, na kutekeleza biashara kwa usahihi zaidi, kasi, na ufanisi.
2. Faida za AI katika Biashara: Moja ya faida kuu za kuingiza AI katika taasisi za biashara ni uwezo wake wa kuboresha uwezo wa kufanya maamuzi. AI inaweza kusindika kiasi kikubwa cha data, zote zilizoundwa na zisizo na muundo, kwa wakati halisi, kuruhusu taasisi kama JPMorgan kufanya maamuzi ya haraka na ya habari zaidi ya biashara. Zaidi ya hayo,AI inaweza kutambua mwenendo,patterns, na uwiano katika data ya soko ambayo inaweza kuwa rahisi kutambuliwa na wachambuzi wa binadamu. Kwa kutumia algorithms za AI,JPMorgan inaweza kuzalisha mikakati ya biashara ambayo inategemea uchambuzi wa data ya lengo, kupunguza athari za upendeleo wa binadamu na hisia. Ujumuishaji wa teknolojia ya AI pia huwezesha taasisi kugeuza shughuli fulani za biashara, Litecoin katika akiba ya gharama na kuongezeka kwa ufanisi wa uendeshaji.
3. Changamoto na Baadaye ya AI katika Biashara: Wakati faida za AI katika taasisi za biashara ni muhimu, pia kuna changamoto ambazo zinahitaji kushughulikiwa. Moja ya changamoto kubwa ni kuhakikisha usahihi na uaminifu wa algorithms za AI. Mifano ya kujifunza mashine inahitaji kufundishwa kila wakati na kusafishwa ili kukabiliana na mabadiliko ya hali ya soko na kuepuka upendeleo unaoweza kutokea. Zaidi ya hayo, kuna wasiwasi kuhusu athari za kimaadili za AI katika biashara, kama vile uwezekano wa udanganyifu wa soko au faida isiyo ya haki. Kama AI inaendelea kubadilika, udhibiti na ulinzi unahitaji kuwa mahali pa kushughulikia wasiwasi huu na kuhakikisha uwanja wa kucheza kwa washiriki wote wa soko. Kuangalia mbele, baadaye ya AI katika biashara inaonekana kuahidi, na maendeleo katika kujifunza kwa kina, usindikaji wa lugha ya asili, na uchambuzi wa utabiri uliowekwa kuleta mapinduzi ya sekta hiyo zaidi. Taasisi kama JPMorgan zitafaidika na uwekezaji unaoendelea katika rasilimali za AI na utaalam kukaa mstari wa mbele wa teknolojia hii ya kukata.. .
1. Role of AI in Trading Institutions: The article focuses on the significant role that Artificial Intelligence (AI) plays in trading institutions,particularly in the case of JPMorgan. AI has become an integral tool for financial institutions,enabling them to analyze massive amounts of data and make informed decisions in a fraction of the time it would take for a human analyst. JPMorgan has been actively incorporating AI into their trading strategies,utilizing machine learning algorithms to optimize trading processes and enhance performance. By leveraging AI technologies,JPMorgan is able to analyze market trends,identify patterns,and execute trades with greater accuracy,speed,and efficiency.
2. Benefits of AI in Trading: One of the main benefits of incorporating AI into trading institutions is its ability to improve decision-making capabilities. AI can process vast amounts of data,both structured and unstructured,in real-time,allowing institutions like JPMorgan to make quicker and more informed trading decisions. Additionally,AI can identify trends,patterns,and correlations in market data that may not be easily detected by human analysts. By utilizing AI algorithms,JPMorgan can generate trading strategies that are based on objective data analysis,reducing the impact of human biases and emotions. The integration of AI technology also enables institutions to automate certain trading activities,resulting in cost savings and increased operational efficiency.
3. Challenges and Future of AI in Trading: While the benefits of AI in trading institutions are significant,there are also challenges that need to be addressed. One of the major challenges is ensuring the accuracy and reliability of AI algorithms. Machine learning models need to be continually trained and refined to adapt to changing market conditions and avoid potential biases. Additionally,there are concerns regarding the ethical implications of AI in trading,such as the potential for market manipulation or unfair advantage. As AI continues to evolve,regulations and safeguards need to be in place to address these concerns and ensure a level playing field for all market participants. Looking forward,the future of AI in trading appears promising,with advancements in deep learning,natural language processing,and predictive analytics set to revolutionize the industry further. Institutions like JPMorgan will benefit from continued investment in AI resources and expertise to stay at the forefront of this cutting-edge technology.
Reference: cointelegraph.com
Sarafu iliyouzwa zaidi
(Sasisha kila saa 1)
| katika | kutoka | ni ($US) | mauzo ($) |
|---|---|---|---|
| 1 | BTC |
66,492.13 | 1,241,416,362.72 |
| 2 | ARS |
1,108.40 | 786,343,432.60 |
| 3 | ETH |
3,080.66 | 525,192,981.55 |
| 4 | SOL |
170.63 | 465,498,804.15 |
| 5 | PEPE |
<0.01 | 183,380,371.08 |
| 6 | BONK |
<0.01 | 160,634,403.55 |
| 7 | WIF |
2.55 | 142,586,352.03 |
| 8 | DOGE |
0.15 | 113,780,919.10 |
| 9 | LINK |
16.73 | 86,033,675.18 |
| 10 | FTM |
0.85 | 78,848,622.81 |
| 11 | RNDR |
9.99 | 72,086,928.97 |
| 12 | BOME |
0.01 | 67,285,630.73 |
| 13 | XRP |
0.51 | 63,838,194.95 |
| 14 | NEAR |
7.84 | 58,811,959.68 |
| 15 | CREAM |
85.73 | 58,539,123.01 |
| 16 | RUNE |
6.64 | 58,037,682.99 |
| 17 | ORDI |
40.08 | 49,199,285.54 |
| 18 | ENA |
0.71 | 48,827,824.68 |
| 19 | FLOKI |
<0.01 | 45,562,158.72 |
| 20 | BCH |
486.00 | 43,606,606.50 |
| 21 | AVAX |
35.70 | 40,392,411.08 |
| 22 | PYTH |
0.37 | 39,877,683.06 |
| 23 | RSR |
<0.01 | 37,135,047.25 |
| 24 | PEOPLE |
0.04 | 36,403,627.83 |
| 25 | WLD |
4.75 | 34,917,965.02 |
| 26 | FIL |
5.58 | 31,431,107.74 |
| 27 | ICP |
12.68 | 31,098,264.60 |
| 28 | AEVO |
0.79 | 29,198,744.62 |
| 29 | FARM |
77.85 | 28,201,130.76 |
Sarafu zenye bei zinazopanda kwa kasi
(Sasisha kila dakika 1)
| katika | kutoka | ni ($US) | zaidi (%) |
|---|---|---|---|
| 1 | CREAM |
85.73 | +47.43 |
| 2 |  UNFI |
4.77 | +20.87 |
| 3 | FARM |
77.85 | +15.73 |
| 4 |  OOKI |
<0.01 | +10.72 |
| 5 |  BNX |
1.08 | +7.95 |
| 6 |  VIC |
0.46 | +6.65 |
| 7 |  PHA |
0.19 | +4.90 |
| 8 |  POND |
0.02 | +3.70 |
| 9 |  AR |
48.21 | +2.57 |
| 10 | BCH |
486.00 | +2.40 |
| 11 | LINK |
16.73 | +2.34 |
| 12 |  AKRO |
<0.01 | +1.33 |
| 13 |  PAXG |
2,415.00 | +1.17 |
| 14 |  OAX |
0.23 | +0.76 |
| 15 |  UNI |
7.84 | +0.44 |
| 16 |  KP3R |
75.20 | +0.23 |
| 17 |  ASR |
3.71 | +0.16 |
Bei ya sarafu inashuka kwa kasi.
(Sasisha kila dakika 1)
| katika | kutoka | ni ($US) | kupunguza (%) |
|---|---|---|---|
| 1 | PYTH |
0.37 | -16.97 |
| 2 |  BLZ |
0.28 | -12.26 |
| 3 |  TNSR |
0.80 | -11.85 |
| 4 |  MANTA |
1.43 | -9.26 |
| 5 |  LSK |
1.73 | -9.26 |
| 6 |  FOR |
0.02 | -8.90 |
| 7 |  DIA |
0.46 | -8.71 |
| 8 |  CITY |
3.11 | -8.27 |
| 9 |  SAGA |
2.05 | -8.24 |
| 10 |  ACE |
4.50 | -8.21 |
| 11 |  STRK |
1.05 | -8.12 |
| 12 |  ZRX |
0.55 | -7.97 |
| 13 |  TIA |
8.77 | -7.88 |
| 14 |  BETA |
0.06 | -7.65 |
| 15 |  AUCTION |
13.66 | -7.39 |
| 16 |  ALCX |
23.36 | -7.15 |
| 17 |  YGG |
0.85 | -6.82 |
| 18 |  EPX |
<0.01 | -6.68 |
| 19 |  PIXEL |
0.34 | -6.65 |
| 20 |  OMNI |
13.79 | -6.64 |
| 21 |  MAV |
0.35 | -6.57 |
| 22 |  HOOK |
0.77 | -6.56 |
| 23 |  XAI |
0.59 | -6.41 |
| 24 |  HIFI |
0.76 | -6.28 |
| 25 |  DCR |
19.42 | -6.27 |
| 26 |  RPL |
18.34 | -6.09 |
| 27 |  NTRN |
0.64 | -5.97 |
| 28 |  GTC |
1.14 | -5.94 |
| 29 |  UTK |
0.08 | -5.85 |
| 30 |  EGLD |
37.88 | -5.84 |
Bitcoin's Greed and Fear Index.
?70
Greed
Global CryptoCurrency News
?(See more news ...)
Habari za Marekani ambayo ina athari kubwa kwenye soko
| katika | habari | siku | tarehe | wakati |
|---|---|---|---|---|
| 1 | Taarifa ya Mwenyekiti wa FED (Jerome Powell). (Fed Chair Powell Speaks) | wiki (Sun) | 19-05-2024 | 22:30 |
| 2 | FOMC Member Bostic Speaks (FOMC Member Bostic Speaks) | Jumatatu (Mon) | 20-05-2024 | 14:30 |
| 3 | FOMC Member Bostic Speaks (FOMC Member Bostic Speaks) | Jumatatu (Mon) | 20-05-2024 | 15:45 |
| 4 | Taarifa ya Mwanachama wa FED (Christopher J. Waller). (FOMC Member Waller Speaks) | Jumatatu (Mon) | 20-05-2024 | 16:00 |
| 5 | Taarifa ya Mwanachama wa Fed (Barr). (FOMC Member Barr Speaks) | Jumatatu (Mon) | 20-05-2024 | 16:00 |
| 6 | Taarifa ya Mwanachama wa FED (Jefferson). (FOMC Member Jefferson Speaks) | Jumatatu (Mon) | 20-05-2024 | 17:30 |
| 7 | Taarifa ya Mwanachama wa FED (Loretta J. Mester). (FOMC Member Mester Speaks) | Jumatatu (Mon) | 20-05-2024 | 21:00 |
| 8 | Taarifa ya Waziri wa Hazina wa Marekani (Jenet Yellen). (Treasury Sec Yellen Speaks) | Jumanne (Tue) | 21-05-2024 | 11:00 |
| 9 | Taarifa ya Mwanachama wa FED (Christopher J. Waller). (FOMC Member Waller Speaks) | Jumanne (Tue) | 21-05-2024 | 16:00 |
| 10 | FOMC Member Barkin Speaks (FOMC Member Barkin Speaks) | Jumanne (Tue) | 21-05-2024 | 16:00 |
| 11 | Taarifa ya Mwanachama wa FED (Williams). (FOMC Member Williams Speaks) | Jumanne (Tue) | 21-05-2024 | 16:05 |
| 12 | FOMC Member Bostic Speaks (FOMC Member Bostic Speaks) | Jumanne (Tue) | 21-05-2024 | 16:10 |
| 13 | Taarifa ya Mwanachama wa Fed (Barr). (FOMC Member Barr Speaks) | Jumanne (Tue) | 21-05-2024 | 18:45 |
| 14 | Taarifa ya Mwanachama wa FED (Loretta J. Mester). (FOMC Member Mester Speaks) | Jumatano (Wed) | 22-05-2024 | 02:00 |
| 15 | Ripoti ya mauzo ya nyumba ya Marekani (Existing Home Sales) | Jumatano (Wed) | 22-05-2024 | 17:00 |
| 16 | ripoti ya hesabu ya mafuta yasiyosafishwa (Crude Oil Inventories) | Jumatano (Wed) | 22-05-2024 | 17:30 |
| 17 | Mkutano wa Kamati ya Sera ya Fedha ya Fed (FOMC Meeting Minutes) | Jumatano (Wed) | 22-05-2024 | 21:00 |
| 18 | Nambari za ukosefu wa ajira za Amerika (Unemployment Claims) | Alhamisi (Thur) | 23-05-2024 | 15:30 |
| 19 | Makadirio ya uzalishaji wa bidhaa za Marekani (Flash Manufacturing PMI) | Alhamisi (Thur) | 23-05-2024 | 16:45 |
| 20 | Makadirio ya Huduma za Marekani (Flash Services PMI) | Alhamisi (Thur) | 23-05-2024 | 16:45 |
| 21 | Ripoti mpya ya mauzo ya nyumba ya Marekani (New Home Sales) | Alhamisi (Thur) | 23-05-2024 | 17:00 |
| 22 | Ripoti ya hifadhi ya gesi asilia (Natural Gas Storage) | Alhamisi (Thur) | 23-05-2024 | 17:30 |
| 23 | FOMC Member Bostic Speaks (FOMC Member Bostic Speaks) | Alhamisi (Thur) | 23-05-2024 | 22:00 |
| 24 | Ripoti ya Kila Mwezi ya Maagizo ya Bidhaa Zinazodumu (Core Durable Goods Orders m/m) | Ijumaa (Fri) | 24-05-2024 | 15:30 |
| 25 | Maagizo ya kila mwezi ya bidhaa za kudumu (Durable Goods Orders m/m) | Ijumaa (Fri) | 24-05-2024 | 15:30 |
| 26 | Taarifa ya Mwanachama wa FED (Christopher J. Waller). (FOMC Member Waller Speaks) | Ijumaa (Fri) | 24-05-2024 | 16:35 |
| 27 | Kuboresha Nambari za Kielezo cha Imani ya Mtumiaji (Revised UoM Consumer Sentiment) | Ijumaa (Fri) | 24-05-2024 | 17:00 |
| 28 | Ripoti ya Mfumuko wa Bei inayotarajiwa kutoka Chuo Kikuu cha Michigan (Revised UoM Inflation Expectations) | Ijumaa (Fri) | 24-05-2024 | 17:00 |
